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As a Senior SRE, you will help own and improve the technical foundations of Perchwell while exemplifying engineering rigor and excellence across our engineering culture and strategy. You will work closely with the VP of Engineering and other senior leaders to tackle and remediate our current problem

Location: Remote (EST/CST preferred), NYC area encouraged We’re seeking a strategic yet hands-on Product Manager to create a wholly new set of products at Rightway: the tools that help us forecast, monitor, and mitigate PBM contractual guarantee risk. Rightway’s PBM business model includes contractual guarantees that an employer population will only spend X dollars on medications in a given year. When spend exceeds that level, Rightway may be responsible for paying back a portion of our PMPM fees. This role will build the internal products and data foundations that enable our teams to identify risk earlier, pinpoint the key drivers of overages, and equip clinical teams with actionable insights to intervene, improving member outcomes while reducing avoidable financial leakage. In the first 6 months, you’ll focus on building a monitoring and risk identification system that: • identifies employer customers trending toward overages, • surfaces the members driving spend, • highlights clinically appropriate medication alternatives and intervention opportunities You’ll work closely with our Financial Risk team, partner with clinical outreach teams, and lead a cross-functional squad that includes application engineers, data engineers, and analysts, with design support as needed. • Own the product vision and roadmap for Rightway’s Clinical Risk & Engagement product suite, balancing near-term delivery (monitoring + identification) with a longer-term path to proactive and automated engagement., • Define the end-to-end “risk to action” workflow across teams: forecast → detect risk → explain drivers → prioritize opportunities → enable outreach → measure impact., • Build tools that reduce or replace manual analysis by enabling:, • automated monitoring of employer populations against contractual guarantee thresholds, • trend detection using contract rules and claims-based spend, • clear views into “what changed” and “why we’re trending over”, • Create dashboard-style experiences to identify and understand the members driving spend, enabling rapid drill-down from customer → cohort → member., • Partner with clinical teams to develop a high-signal workflow that supports outreach and behavior change, including:, • a prioritized, ranked “chase list” of members based on estimated intervention value, • member context (condition, medication usage) and clinically appropriate alternatives, • clear explanations that help clinical teams act confidently and consistently, • Ensure outputs are practical for real outreach operations (not just analytics), and iterate with fast feedback loops., • Partner with Data Engineering and Analytics teams to define the models and datasets that power these products, leveraging:, • Rx claims, medical claims, • demographics (age, sex), • member-provided information (health profile submissions), • Set standards for usability and trust: timeliness, data quality, explainability, and auditability (especially where contract rules and dollars are involved)., • Explore opportunities to incorporate AI/ML where it improves model quality and prioritization without sacrificing interpretability and reliability., • Translate business needs into detailed requirements, user stories, acceptance criteria, and success metrics., • Lead discovery with financial risk and clinical partners; align stakeholders around scope, sequencing, and tradeoffs., • Manage a prioritized backlog across application engineering and data teams; ship iteratively and improve based on adoption and outcomes., • 3+ years of product management experience delivering complex, cross-functional products., • Strong comfort working with data-heavy systems (dashboards, internal tools, analytics products, forecasting/monitoring)., • Proven ability to turn ambiguous workflows into shipped software that changes how teams operate., • Experience partnering closely with engineering, data engineering, and analysts to define models, instrumentation, and reliable reporting., • Ability to communicate clearly with technical and non-technical stakeholders and align them around measurable outcomes., • Experience bringing a product from 0 to 1, from the beginning of ideation through launch support., • Experience in healthcare, PBM, claims analytics, or clinical data., • Experience with financial risk products (forecasting, monitoring, guarantees, margin protection, unit economics)., • Exposure to AI/ML concepts (predictive modeling, ranking, propensity, explainability) and using them responsibly in production products., • A systems thinker who can simplify complexity and build products people actually use., • A pragmatic builder who delivers “thin slices,” learns fast, and iterates toward a durable platform., • An owner who takes accountability for outcomes, especially when the metric is dollars., • A trusted partner who can bridge finance, clinical, and technical teams. SALARY (BEFORE COMMISSION POTENTIAL): $140,000 - $160,000 Offer amounts for both remote and in office roles are influenced by geographic location. CYBERSECURITY AWARENESS NOTICE In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @_ email domain. We will never ask for bank details or deposits of any kind as a condition of employment. ABOUT RIGHTWAY: Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient’s care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them. Since its founding in 2017, Rightway has raised over $205mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global. We’re headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs. HOW WE LIVE OUR VALUES TO OUR TEAMMATES: We’re seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our following core values: 1) We are human, first Our humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding. 2) We redefine what is possible We always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems. 3) We debate then commit We believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a “yes, and” mentality, and assume positive intent. Once a decision is made, we align and champion it as one team. 4) We cultivate grit Changing healthcare doesn’t happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity. 5) We seek to delight Healthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members’ care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members’ success. Rightway is Proudly an Equal Opportunity Employer that believes in strength in the diversity of thought processes, beliefs, background and education and fosters an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis covered by appropriate law. All employment is decided on the consideration of merit, qualifications, need and performance.

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. About the Role We’re hiring a full-stack Software Engineer to help us build the next generation mental healthcare platform. You’ll join a mission-driven team where engineering decisions are tightly aligned with business outcomes, and our broader goal of making affordable mental health care more accessible across the United States. This role is full-stack by design: you’ll work across our backend services (Python/Flask) and frontend applications (React/TypeScript). We expect applicants to be equally comfortable improving our frontend client portal experience or writing an API spec to support a mobile app feature. Our Client Engagement team’s mission is to make Grow the trusted place clients turn to for their mental health needs, offering personalized support and tools in the moments that matter most. What You'll Work On You’ll help us deliver against key roadmap priorities, including: • Build Strong Foundations: Ensure the core intersession experience is available to all clients on both mobile app & web, is reliable, and intuitive., • Deliver Personalized Recommendations: Create an intelligent recommendation engine that leverages data we have on to surface the most relevant tools and resources., • Provide High-Value Between-Session Tools: Offer meaningful tools that extend care beyond sessions and help clients apply therapy in daily life. Who You Are • 4+ years of professional experience – You’ve contributed meaningfully to production systems and are comfortable owning development tasks with guidance., • Full-stack fluency – You’re comfortable building end-to-end features, from backend services and APIs to polished, user-facing interfaces., • Technical proficiency – You have experience with at least one backend language (preferably Python) and modern JavaScript frameworks (React preferred)., • Impact-oriented – You prioritize outcomes over output and think deeply about the business and user value behind your work., • Adaptable – You thrive in evolving environments and can stay productive even when requirements shift., • Team player – You collaborate well, communicate with empathy, and enjoy mentoring and learning from others. Bonus Points • You use modern AI tools (e.g., Cursor, GitHub Copilot) to boost your productivity and focus on higher-leverage problems., • You have collaborated with iOS and/or Android engineering teams to develop both the backend and/or frontend components required for a mobile application., • You have taken products from the initial 0-to-1 stage through to successful scaling post-launch. Why This Role Is Exciting Join us at the Care Connections group and be at the forefront of revolutionizing mental health care. As part of our team, you'll play a pivotal role in transforming therapy from isolated appointments into a continuous care journey, leveraging cutting-edge technology to bridge the gaps between therapy sessions. Be a part of a dynamic team that values collaboration, innovation, and operational excellence, in service of our mission. Let's create a future where continuous support is at the heart of mental wellness. Role Details: • Employment Type: Full-Time, Exempt, • Base Compensation: The base compensation range for this position is Hybrid Commitment: $200,000–$250,000 USD Annually Fully Remote Commitment: $167,000–$210,000 USD Annually This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites). The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location. Full Time Employee Benefits: • Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage., • Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend., • Financial Wellness: 401(k) program and equity opportunities., • Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees., • Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week., • Wellness & Development: Annual stipends to put towards therapy and personal & professional growth., • Mental & Physical Health Support: Weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace)., • Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance. Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings. Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool,, to assist in the initial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with and can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at talentops@growtherapy.com If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.

About Nava Nava is a consultancy and public benefit corporation working to make government services simple, effective, and accessible to all. Since 2013, federal, state, and local government agencies have trusted Nava to build transformative digital services to help people access public benefits. Meeting our mission is an opportunity to restore trust between people and public institutions. We focus on populations that are the least protected because the stakes are higher. As a client services company, we work with government agencies to improve how people apply for benefits, navigate their health care, and more. We bill for our time, selling our expertise and problem-solving methodology to government clients. Our clients hire us to help improve their products and services so that their users and beneficiaries have a better customer experience. These end-users—the humans who benefit from our work—are at the core of everything we do. We research beneficiaries’ needs to help our government clients better deliver on their missions, providing everyone at Nava opportunities to do meaningful, impactful work. Position summary You will work on small teams to build scalable infrastructure for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The full stack engineer in this role will be responsible for developing end to end systems for one of Nava’s major government partners. This is an opportunity to create a more secure and equitable experience for the public. The team will be extending the client’s existing codebase using mainly DevOps, Javascript, and Python to build widely relied upon services by millions of people nationwide. \n What you'll do • Working with fellow Nava engineers to design, review, and build well-crafted software., • Collaborating with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems., • Working in an agile manner to efficiently ship new features that meet user needs., • Creating tools and processes to automate our development, testing, and production workflows., • Writing and reviewing technical documentation, and performing code reviews., • Participating in an on-call rotation to support production systems and investigate issues when they occur., • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required skills • At least 6 years of hands-on professional work experience building web applications and creating APIs, • Experience with backend & DevOps skills, Java Spring, Kubernetes, and SQL/RDS,, • Understanding of web and mobile user interface design best practices, • Should be comfortable working in a fast-paced, dynamic environment in a self-directed manner that requires minimal supervision, • Familiarity with web accessibility standards to deliver services that are not just minimally accessible, but a simple and intuitive experience for all users, including those who rely on assistive technologies, • Strong communication and cross-functional collaboration skills, • Equal parts systems thinker and advocate for users, • Highly resourceful, reliable, and detail-oriented, • Ability to think strategically around trade-offs and short-term vs. long-term benefits, • An adaptive, empathetic, collaborative, and positive mindset, • Excellent written and real-time communication. technical and otherwise \n$135,900 - $171,000 a year\n Other requirements All roles at Nava require the following: ● Must be legally authorized to work in the United States and meet any other requirements for government contracts for which they are hired. ● Candidates who are offered a job with Nava must possess work authorization that does not require sponsorship by their employer for a visa now or in the future. ● May be subject to a government security investigation and must meet eligibility requirements for access to classified information or applicants who are eligible for security clearances. Perks working with Nava ● Competitive benefits: We prioritize your well-being, offering highly competitive medical, dental, and vision benefits. ● Generous time off: Enjoy 20 days of accrued PTO, 12 paid federal holidays, 5 prorated floating holidays, and unlimited sick leave. ● Annual discretionary bonus: Paid annually to eligible employees. When Nava does well, you do well. ● Parental leave: Receive 16 weeks of fully paid parental leave and weekly meal deliveries during your leave. ● Employee wellness program: Access our comprehensive Employee Wellness Program. ● Virtual doctor visits: Enjoy zero copay virtual doctor visits through UHC. ● Fertility support: Benefit from fertility support and treatment options. ● Sabbatical leave: We offer a sabbatical leave program. ● 401k contributions: We match 4% of your salary in 401k contributions. ● Flexible work arrangements: We offer flexible work arrangements to suit your needs. ● Home office setup: Receive assistance with your home office setup and a monthly phone allowance. ● Utilities reimbursement: Get a monthly partial reimbursement for utilities (where applicable). ● Learning and development: Access our comprehensive learning and development program. ● Tuition and Professional development budget: Receive a prorated annual tuition and professional development budget and a LinkedIn Learning license. ● Equity stock options: Benefit from equity stock options. ● Employee referral program: Participate in our employee referral program. ● Commuter benefits: Enjoy commuter benefits. ● Insurance coverage: Receive short and long-term disability insurance, as well as life and accidental death insurance. ● Inclusive culture: Join our diverse, inclusive, highly collaborative, and vibrant culture that supports remote work. Location You can work in a hybrid work arrangement from one of Nava’s offices in NYC, DC, or San Francisco. We also have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Stay in touch Sign up for our _ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Nava PBC equal opportunity employer that is deeply committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, age, gender, religious or political beliefs, national origin or heritage, marital status, disability, sex, sexual orientation or gender identity, genetic information, pregnancy, status as a protected veteran or any characteristic protected by federal, state, or local laws. Our commitment to diversity, equity, and inclusion not only reflects our values as a public benefit corporation but also enriches our ability to do our work. Learn more about where we are today and hope to be by 2025. Please contact the recruiting team at recruiting@navapbc.com if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level English proficiency (UK, CA, AU) and a university degree (Bachelor’s or higher)., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About World Business Lenders (https://wbl.com/) World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding. WBL is a U.S.-based company with a 100% remote workforce. • Generally, working hours will be 9:00am-6:00pm Eastern time, Monday through Friday, although hours worked may be greater based upon operational requirements., • We are looking for someone who is really skilled in both speaking and writing in English. Responsibilities: • Build and nurture strong, lasting relationships with NYC-based ISOs., • Drive new business opportunities (ITPs) by meeting and exceeding targeted KPIs., • Collaborate closely with ISOs to grasp their unique needs and showcase the WBL product as the ideal solution., • Increase loan origination volume by developing ISO partnerships through a consultative and personalized sales approach., • Spend four days a week visiting ISOs and one day working from the home office to maximize engagement and productivity. Requirements • Required Education:, • A Bachelor’s degree in Business, Finance, Real Estate, or a related field is strongly preferred., • That said, if you bring significant hands-on experience in sales, lending, or real estate, we’re excited to consider that as a valuable alternative to formal education., • Required Experience:, • Bring 3 to 5 years of proven success in sales, account management, or business development to the table., • Hands-on experience in MCA lending is essential., • Demonstrated ability to build strong client relationships and consistently achieve or exceed sales goals. Preferred Background / Industry Experience: • Experience in MCA, commercial lending, financial services, or business development environments preferred;, • Prior exposure to ISO relationship management, loan origination, or small business financing is highly desirable. Soft Skills Required • Great at building relationships and connecting with others, • Excellent verbal and written communication skills, • Skilled in active listening with a friendly, consultative approach to sales, • Open-minded and eager to tackle challenges with a positive attitude, • Highly organized with strong time management and a self-motivated spirit for fieldwork Technical Skills Required • Proficient in leveraging CRM tools to drive efficient lead tracking and sales pipeline management., • Experienced in utilizing Microsoft Office suite, including Excel, PowerPoint, and Word, to enhance productivity., • Confident in hosting engaging virtual meetings and delivering compelling presentations through platforms like Zoom and Teams. Benefits • Join us in a Full-time Role, • Competitive Compensation Package, • Paid Time Off (PTO)

Job DescriptionAbout Invoca: Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About the Team: Implementation is an essential differentiator for Invoca and a critical time in the customer journey. As an Implementation Manager, you will lead the successful deployment of Invoca's industry-leading Call Tracking and Analytics solution across a portfolio of customers. Reporting to the Senior Manager, Implementation, you will manage projects spanning four customer segments, ensuring a seamless onboarding experience that drives product adoption and long-term success. About the Role: This individual contributor role requires strong project management, product expertise, and communication skills to effectively guide customers through technical implementations while balancing multiple engagements. This role supports teams in the US and the UK. You will play a key role in delivering exceptional business value by optimizing onboarding processes, developing best practices, and collaborating cross-functionally to support customers in achieving their goals with Invoca. As a strategic thinker and problem solver, you will contribute to the continuous improvement of the implementation function and help scale processes to meet the evolving needs of a growing SaaS organization. You Will • Project & Portfolio Management: Oversee a portfolio of customer implementation projects, ensuring timely completion and successful execution., • Customer Engagement: Collaborate with customers to understand business objectives and tailor implementation strategies to their needs., • Product Expertise & Training: Become an expert on the Invoca platform, training customers on core functionalities, integrations, APIs, and webhooks., • Technical Implementation Support: Assist customers in deploying Invoca's JavaScript, integrating with MarTech platforms, and optimizing workflows., • Process Optimization: Identify and implement best practices to enhance efficiency, scalability, and customer experience., • Stakeholder Collaboration: Partner with Sales, Sales Engineering, Product and Customer Success to ensure smooth handoffs and consistent customer communication., • Issue Resolution & Risk Mitigation: Quickly identify potential issues, escalate as necessary, and proactively resolve challenges to ensure a positive onboarding experience., • Customer Advocacy: Gather insights from onboarding experiences to advocate for feature enhancements and inform product development., • Tracking & Reporting: Maintain accurate project records, track milestones, risk and ensure adherence to implementation Service Level Objectives using project management and CRM tools., • Global Market Alignment: Maintain an early-morning Eastern Time (ET) schedule to provide direct implementation oversight and real-time consultation for UK and European customers., • Agentic AI Exposure: Lead the deployment of Agentic AI workflows, ensuring autonomous agents are properly integrated into the customer's broader MarTech ecosystem.You Have:, • 2+ years of experience in a customer-facing, project management, or implementation role for a SaaS or technology company., • Regional Availability: Residency in the Eastern Time Zone with a consistent ability to start the workday during early morning hours to support international accounts., • Proven ability to manage multiple customer projects with strong prioritization and time management skills., • Professional experience or deep familiarity with implementing Agentic AI frameworks, autonomous agents, or LLM-driven automation., • Deep product expertise and the ability to translate complex technical concepts for both technical and non-technical audiences., • Strong interpersonal and communication skills, capable of discussing both technical details and business strategy., • Ability to follow structured processes while adapting to customer needs and business objectives., • Strong analytical skills with a data-driven approach to decision-making., • Ability to think critically, solve complex problems, and work well under pressure., • Experience with CRM and project management tools (e.g., Salesforce, Jira).Bonus Qualifications, • Experience with marketing technologies such as Google AdWords, Google Analytics, Salesforce, and Adobe., • Technical background with working knowledge of HTML, JavaScript, CSS, and other web-related languages., • Background in telecom, automotive, marketing, mobile, or digital media industries., • Experience in the affiliate marketing space., • Familiarity with Agile project management methodologies. 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits, & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - $77,000-$95,0000 / plus annual bonus DEI Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace. #LI-Remote

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Invoca Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. About the Role As Manager, Mid-Market Sales, you will lead a team of Account Executives responsible for acquiring new logos and expanding existing customer relationships within the Mid-Market segment. You are a player-coach who thrives on building pipeline, accelerating deals, and developing talent. You will partner cross-functionally with Marketing, Customer Success, Product, and Sales Engineering to drive predictable, scalable revenue growth. This role is critical to Invoca's growth strategy and reports directly into the sales leadership team overseeing North America. You Will • Own and deliver the Mid-Market team's revenue targets across new business and expansion, including monthly, quarterly, and annual quotas., • Build and maintain accurate forecasts; proactively identify risks and develop mitigation plans., • Drive pipeline velocity by coaching reps on deal strategy, qualification, negotiation, and close plans., • Personally engage in strategic deals as a player-coach to accelerate outcomes and model excellence. Team Leadership & Development • Recruit, hire, onboard, and retain a high-performing team of Mid-Market Account Executives., • Coach and develop individual contributors through regular 1:1s, call reviews, pipeline reviews, and structured feedback., • Set clear performance expectations, hold the team accountable, and manage underperformance directly and constructively., • Create a culture of urgency, accountability, continuous improvement, and winning. Strategy & Execution • Develop and execute a Mid-Market go-to-market strategy aligned with Invoca's broader sales and company objectives., • Design and refine the team's sales plays, account segmentation, and territory plans for maximum coverage and efficiency., • Collaborate with Marketing on demand generation campaigns, event strategy, and inbound/outbound pipeline development., • Partner with Customer Success and Sales Engineering to ensure seamless handoffs, strong post-sale outcomes, and expansion opportunities. Operational Excellence • Establish and track key performance indicators (KPIs) including pipeline creation, win rates, deal cycle times, average deal size, and activity metrics., • Run effective team meetings, QBRs, and forecast calls with clear agendas and actionable takeaways., • Maintain CRM hygiene and ensure the team operates with discipline in Salesforce., • Leverage AI tools and data insights to improve team productivity, deal intelligence, and decision-making.You Have, • 3–5+ years of frontline sales management experience in B2B SaaS, with a proven track record of consistently meeting or exceeding team revenue targets, • Prior individual contributor experience as a quota-carrying seller with demonstrated success in both new logo acquisition and account expansion, • Direct selling experience as a hunter-farmer hybrid, capable of closing deals and managing an expansion book with measurable results, • Experience managing a team selling into mid-market accounts (typically $10K–$100K+ ACV)., • Strong coaching and development skills with the ability to attract, retain, and elevate talent, • Excellent forecasting discipline and pipeline management acumen, • Working knowledge of Salesforce.com is required, • Outstanding verbal and written communication skills with the ability to present to internal leadership and external stakeholders, • Experience in MarTech, AdTech, call analytics, or AI/conversational intelligence platforms, • AI/Tech proficiency, including actively using AI tools in your sales workflow, • Experience with consumption-based or usage-based pricing models, • Track record of building or scaling a Mid-Market sales function, • College degree or equivalent experience 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits, & Perks At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program – Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - Salary Range $180,000 - $220,000 / plus bonus potentialDEI Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace.

Job Description Company introduction: Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to accelerating patient access to evidence-based innovation in mental health. The Company is headquartered in London, UK, with offices in New York City in the US. We focus on developing novel treatments that have the potential to improve the lives of those who are suffering with mental health conditions and who are not helped by current treatments. We are pioneering a new paradigm for treating mental health conditions focused on rapid and durable responses through the development of our investigational COMP360 synthetic psilocybin treatment, potentially a first in class treatment. COMP360 has Breakthrough Therapy designation from the US Food and Drug Administration (FDA) and has received Innovative Licensing and Access Pathway (ILAP) designation in the UK for treatment-resistant depression (TRD) due to the pressing unmet need in this area. We are currently in phase 3 for TRD, have completed phase 2 studies for both post-traumatic stress disorder (PTSD) and anorexia nervosa and are planning a further late-stage study in PTSD. We envision a world where mental health means not just the absence of illness but the ability to thrive. - Compass Pathways. Job overview: The Senior Manager, Regional Sales is a first-line sales leadership role responsible for building, developing, and leading a high-performing specialty sales team supporting the launch and growth of an innovative mental health therapy. This leader will drive regional execution of commercial strategy by partnering with certified treatment centers, psychiatrists, and integrated care systems while ensuring alignment with regulatory, safety, and patient-access frameworks. The Senior Manager, Regional Sales will play a critical role in shaping a new therapeutic category, and creating a culture of integrity, collaboration, and patient-centricity. Location: Remote in Southern California (Los Angeles, CA, Orange County, CA, Phoenix, AZ). Reports to: Director, National Sales. Roles and responsibilities (Include but are not limited to): • Recruit, onboard, and lead a team of Territory Account Managers, • Foster a high-accountability, psychologically safe culture that promotes coaching, development, and collaboration, • Set clear expectations and performance standards aligned with company launch objectives, • Drive successful regional execution of the commercial launch strategy and identify opportunities to expand the treatment ecosystem, • Ensure field readiness around clinical data, patient identification, treatment protocols, and site-of-care logistics, • Foster strategic relationships with psychiatrists, treatment centers, behavioral health systems, academic centers, and Key Opinion Leaders (KOLs), • Partner cross-functionally with Medical Affairs, Market Access, Training, Patient Support, etc., • Provide field insights to inform brand strategy and launch optimization, • Analyze regional performance metrics and develop action plans to drive results, • Manage regional budgets, forecasting, and territory alignment, • Conduct regular field coaching to strengthen clinical selling skills and consultative engagement with mental health providers Candidate Profile: • Bachelor's degree required (advanced degree preferred), • 8-10+ years of pharmaceutical or biotech sales experience, • 5+ years of first-line sales leadership experience, • Demonstrated success launching specialty or neuroscience therapies, • Experience in psychiatry, CNS, or behavioral health markets, • Experience launching therapies requiring site certification, REMS, or specialized administration models and/or a background working with IDNs, academic medical centers, and specialty treatment sites, • Experience building teams in startup or pre-launch biotech environments 【For NYC】Compensation Description (annually): Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Base pay is one part of the Total Package that is provided to compensate and recognise employees for their work and any role at Compass, regardless of the location, is eligible for additional discretionary bonuses and equity. 【Base salary per annum】:$180,000—$230,000 USDBenefits & Compensation: For an overview of our benefits package and compensation information, please visit "Working at Compass". Equal opportunities: Reasonable accommodation We are committed to building a workplace where everyone's wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know. UK applicants We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability. US applicants Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law. Sponsorship: Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying. Data Privacy: All data is confidential and protected by all legal and data privacy requirements, please see our recruitment Privacy Notice to learn more about how we process personal data.

Job DescriptionAbout Invoca Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. About the Team Our Revenue Operations, Strategy and Enablement organization is designed as a unified, end-to-end revenue engine — aligning Strategy, Operations, Systems, and Enablement across the full customer lifecycle. We have eliminated traditional Sales, Marketing, and Customer Success Ops silos and replaced them with clear ownership across planning, execution, and infrastructure, within our GTM operating model. The Revenue Operations pillar owns how our revenue engine operates day-to-day. We are the team that translates business needs into operational solutions — defining the processes, workflows, and lifecycle structures that power scalable, efficient GTM execution across Marketing, Sales, and Customer Success. About the Role We're seeking a highly operational, process-driven, and strategic Director of Revenue Operations to own end-to-end operational process and procedure design across our full revenue lifecycle. This is not a systems or analytics role — it is a role for someone who excels at translating business needs into operational solutions: defining how the revenue engine runs, how teams collaborate, how workflows are governed, and how the customer journey is operationalized from first touch through retention. This role will partner closely with our Revenue Systems, Data & AI team to translate operational requirements into scalable system design and implementation, ensuring that what we define operationally is built and embedded into the tech stack. You will manage a cross-functional team covering Marketing Ops, Sales Ops, Customer Success Ops and Customer Education, while personally ensuring CS Ops process design is embedded as a core part of your end-to-end lifecycle ownership. This role reports to the VP Revenue Operations, Strategy and Enablement, and partners closely across Sales, Marketing, Customer Success, and Finance leadership. You Will Own End-to-End Operational Process & Procedure • Design and govern GTM operational processes across the full revenue lifecycle — from the first Marketing touch through Customer Success retention, • Define lifecycle stage definitions, entry/exit criteria, and cross-functional handoff standards, ensuring they are consistently applied and improved over time, • Govern lead routing, account assignment, territory execution, and workflow design across all GTM functions, • Own pipeline governance and inspection frameworks in partnership with the Revenue Strategy, Planning & Analytics pillar, • Identify and systematically eliminate operational friction across the revenue lifecycle Translate Business Needs into Operational Solutions • Act as the primary translator between business strategy and operational execution — defining not just what the goals are, but precisely how teams execute against them, • Work directly with Sales, Marketing, and CS leadership to understand business needs and design the operational model to support them, • Partner with Revenue Systems, Data & AI to translate operational requirements into scalable system design and implementation, ensuring what is defined operationally is accurately built into the tech stack, • Build operational frameworks and documentation that scale with business growth and increasing organizational complexity, • Ensure that AI and automation investments are grounded in sound operational process design, partnering with Revenue Systems, Data & AI on use case prioritization Lead and Develop Your Team • Lead and develop Revenue Operations Managers covering Marketing Ops and Sales Ops, providing direction, coaching, and clear prioritization, • Personally own CS Ops process design — including post-sale process optimization, customer health scoring logic, and customer lifecycle communications — as part of your end-to-end lifecycle remit, • Oversee Customer Education alignment to lifecycle stages, partnering with instructional design and content managers to connect Academy learning pathways to operational lifecycle moments, • Maintain content and tooling standard alignment between Customer Education and Revenue Training & Enablement Drive Cross-Functional Alignment & Adoption • Serve as the operational liaison across Sales, Marketing, CS, and Finance leadership, representing the operational model and advocating for process integrity, • Partner with Revenue Strategy, Planning & Analytics on territory execution, pipeline governance, and performance frameworks, • Align operational workflow rollouts with Revenue Training & Enablement to ensure field readiness and adoption, • Drive adoption of new processes and workflows across the GTM field, measuring effectiveness and iterating continuously Continuously Improve the Revenue Engine • Bring a data-informed perspective to process improvement, leveraging analytics insights from the Revenue Strategy, Planning & Analytics pillar, • Continuously evaluate operational processes for efficiency, scalability, and adoption across the field, • Stay ahead of best practices in revenue operations and bring a clear point of view on how emerging tools and AI capabilities can be operationally embeddedYou Have, • 8–12+ years of experience in Revenue Operations, GTM operations, or closely related roles in B2B SaaS, • Proven track record designing and governing end-to-end GTM processes across Marketing, Sales, and Customer Success, • Deep understanding of the full revenue lifecycle and how operational process design drives GTM execution, • Experience translating business strategy into operational frameworks and procedures, • Strong partnership experience working with systems/technical teams to translate operational requirements into scalable implementations, • Experience managing and developing operational teams across multiple GTM functions, • Demonstrated ability to drive cross-functional alignment across Sales, Marketing, CS, and Finance, • Strong analytical mindset — able to use data and insights to inform process design and improvement, • Exceptional communication and stakeholder management skills across all levels of the organization, • Comfort operating in a fast-moving, high-growth environment where structure is built, not inherited, • Experience with modern GTM tech stacks (Salesforce, Marketo, Gainsight, Gong, Salesloft) and how system design intersects with operational process, • Hands-on AI fluency — able to independently build, test, and deploy AI-powered workflows and automations, not just evaluate or direct others to do so; brings both a strategic point of view on where AI applies and the technical capability to prove it out themselves 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits, & Perks At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - Salary Range $139,000-$208,000 / plus bonus potentialDEI Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace. #LI-Remote

Job DescriptionAbout VidsyVidsy is a global creative platform transforming how the world’s biggest brands create video advertising across paid social. With teams across NYC, LA, Toronto, and London, we partner with global advertisers like L’Oréal, Amazon and PepsiCo enabling them to produce creator and AI powered video advertising at scale. The RoleYou’ll be a Creative Strategist in our growing Creative Strategy team, where you’ll work closely with commercial teams and creative leads to develop insight-driven strategies, identify trends and audience behaviours, craft creative opportunities, and build deliverables that meet client objectives across social and digital platforms. You’ll inspire and support the Creative team throughout production, while partnering with Client Partners, Business Development and Client Solutions to ensure every client receives an exceptional Vidsy experience.Must Haves • 5+ years (or equivalent) experience in a strategy, creative, or planning function., • Experience and genuine interest in the social and content space., • Passion for understanding audiences, finding insights and turning them into strong creative., • Strong organisational skills with the ability to manage multiple clients and deadlines., • Familiarity with social platform trends, best practices, and analytics tools., • Experience collaborating with sales, account management or production teams., • Excellent listening, communication and presentation skills.Nice to Haves, • Experience working with creators or creator-led campaigns.Compensation & Perks\uD83D\uDCB0 Competitive Salary: $80,000–$110,000 USD (based on experience).\uD83D\uDCE5 401k: Planning for the future. \uD83E\uDE7A Private Healthcare: Comprehensive coverage to keep you feeling your best.\uD83C\uDFDD Generous Time Off: 25 days PTO plus Federal Holidays\uD83D\uDCBB Home Setup: We’ll equip your home office from day one - or give you a budget to offset & build your ideal setup.\uD83D\uDE0C Flexible Hybrid Approach: Work your way with our virtual-first hybrid approach.\uD83C\uDF0D Remote Flexibility: Work away from your hub for up to 4 weeks of the year.\uD83D\uDE07 Volunteer Day: Get a paid day off annually to support a cause you care about.&hearts️ Wellbeing Focus: Access our wellness programs and Employee Assistance Program.\uD83C\uDF0D Eco Impact: Your carbon footprint offset through our Ecologi partnership. Hybrid ‘Virtual-First’ Work SetupVidsy embraces a hybrid ‘virtual-first’ approach across all our hubs. We require all new team members to be based locally to their regional hub from day one, but offer the flexibility to access office space as needed, or whenever it best supports your productivity and collaboration. The balance between in-office and remote work will vary depending on your team, role, and personal preferences. Diversity at VidsyWe’re committed to building a representative, inclusive, and super-friendly team because diverse experiences, perspectives, and backgrounds lead to better workplaces and better products. At Vidsy, we welcome everyone and do not discriminate based on race, colour, religion, gender, national origin, age, sexual orientation, marital status, disability, or any other protected characteristic. For more information on reasonable accommodations in the interview process please see THIS LINK We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Invoca: Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. About the Team: Our Revenue Systems, Data & AI team is responsible for building and powering the infrastructure of our revenue engine. We own the GTM tech stack, data architecture, and automation layer that enables scalable, efficient execution across Sales, Marketing, and Customer Success. As we continue to evolve in an AI-driven landscape, we are focused on embedding intelligence directly into our workflows to drive better decisions, improve productivity, and accelerate revenue outcomes. About the Role: We're seeking a highly technical, innovative, and forward-thinking Sr. GTM AI Architect to lead the design and deployment of AI-driven capabilities across our GTM tech stack. This is a senior individual contributor role responsible for embedding AI directly into revenue workflows to enable smarter decision-making, automate manual processes, and improve execution across Sales, Marketing, and Customer Success. You'll act as both a builder and operator, translating a deep understanding of GTM workflows into practical AI systems. While we already leverage AI across our systems, this role was created to go deeper — providing dedicated focus to scale those efforts and drive adoption of the highest-impact, field-facing use cases. This role reports to the Senior Director, Revenue Systems, Data & AI within the Revenue Operations, Strategy & Enablement team, with close partnership across the GTM organization. You Will: • GTM AI Strategy & Use Case Development — Identify and prioritize high-impact AI use cases across Marketing, Sales, and Customer Success in partnership with Revenue Operations, aligning initiatives with business priorities to improve field productivity, conversion, and customer outcomes, • AI Workflow Design & Deployment — Design and implement AI-driven workflows and agentic solutions across the GTM tech stack, embedding AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement — practical, scalable, and built for field adoption, • Automation & Intelligence Layer — Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack, leveraging LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows, • Systems & Architecture Partnership — Integrate AI into platform design in close collaboration with Systems & Architecture, ensuring alignment with data models, governance standards, and long-term architecture, • Data & Signal Utilization — Leverage GTM data to power AI-driven insights and workflows, ensuring high-quality inputs and outputs for confident decision-making, • Continuous Innovation & Experimentation — Stay ahead of AI and GTM technology trends by rapidly evaluating, testing, and scaling new tools and approaches.You Have:, • 8–12+ years of experience across RevOps, GTM systems, software engineering, or technical roles in B2B SaaS, • Strong hands-on experience with AI/ML, LLMs, and automation frameworks, • Deep experience with Salesforce and modern GTM tech stacks, • Strong technical skills (e.g., Python, APIs, integrations, data workflows), • Proven ability to design and deploy AI-driven solutions in business environments, • Strong understanding of GTM processes and revenue operations, • Ability to translate business problems into scalable technical solutions, • Experience working cross-functionally with business and technical stakeholders, • Highly autonomous, self-directed, and comfortable operating as a senior individual contributor, • Curiosity and passion for applying AI to real-world business problems 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits, & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program – Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base - Target Base Salary $153,000-$187,000 / plus bonus potentialDEI Statement: We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in French, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Greek, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Croatian, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Portuguese (Portugal), • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Danish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description ORANGE COUNTRY / L.A. METRO - With more than 100 ecommerce searches each year, EcommerceRecruiter.com is the leading contingency-based recruiting firm serving the NRF, IR-1000, and B2B communities. To opt-in to our popular "Ecommerce Job of the Day" email, click here. One of the coolest ecommerce jobs around! HARRY'S COMMENTS: We are working with a profitable, growing, PE-backed skincare brand in its search for a Director of Ecommerce based in always-sunny Orange County / L.A. Metro. Founded by a world renowned dermatologist and pioneer in medical grade skin care, the client has established itself as a leader in the doctor-dispensed cosmeceutical market. The firm has 300 employees and operates with the scientific credibility that only comes from real medical expertise combined with the commercial sophistication of one of the world's best private equity investors. The client's unique value prop lies in its two-channel approach: It maintains professional distribution through more than 4000 authorized healthcare providers while also building a robust DTC ecom business. This hybrid model offers two self-reinforcing advantages: 1./ It provides credibility through professional endorsement, while 2./ connecting online sales to physician referrals. This, in turn, drives higher LTVs through the trust associated with medical recommendations. Not surprisingly, my client's product portfolio centers on medical-grade formulations that command premium AOVs thanks to the clinical backing that support their efficacy claims. Its products have demonstrated clinical results, enabling the company to maintain strong margins while commanding higher price points than traditional beauty products. Operationally, the brand is growing like a weed: A recent platform migration resulted in an increase in conversion rates and a decrease in bounce rates. Yet this is a complicated business, which accounts for the the emphasis on Salesforce Commerce Cloud in this job spec. More on that below. About the Industry The physician-dispensed cosmeceuticals market is one of the most attractive segments in thee beauty industry, combining the growth dynamics of skincare with the credibility and pricing power of medical authority. The global market is projected to reach $13.93 billion by 2030, growing at nearly a 8.8% CAGR, driven by increasing consumer demand for science-backed, clinically proven skincare products. This growth is occurring within the context of a massive $716 billion global beauty ecom market ... But unlike traditional beauty products, medical-grade skincare benefits from longer customer consideration periods, higher AOVs, better customer retention rates, and reduced price sensitivity. The competitive landscape includes established dermatologist-dispensed brands and emerging AI-powered personalization platforms. Broadly speaking, the industry is experiencing consolidation pressure as major beauty conglomerates like L'Oréal, Unilever, and P&G aggressively expand into medical-grade skincare through acquisitions and new product development. Several trends are reshaping the industry landscape: Customer acquisition costs in beauty ecommerce are increasing, with some DTC brands reporting 30%+ increases in paid media costs, making a well-run physician referral channel increasingly valuable. Meanwhile, the expansion of telemedicine creates new opportunities to blend physician expertise with DTC sales, while regulatory scrutiny of cosmeceuticals continues to intensify. Beyond that, beauty subscription models are growing as consumers seek convenient access to professional-grade products, creating recurring revenue opportunities essential for private equity valuations, while technology is becoming increasingly central to competitive differentiation. Beauty ecommerce trends emphasize AI-driven personalization and virtual diagnostic tools, areas where medical-grade companies can leverage their clinical foundation to develop sophisticated skin analysis capabilities that cosmetic brands cannot replicate. About the Role As my client's new Director of Ecommerce, you'll manage all the complexity that goes with scaling a $50 million P&L in a regulated, physician-dispensed market under private equity ownership. This role requires ... • an exceptional blend of technical platform expertise,, • strategic business acumen, and, • industry-specific knowledge that, frankly, few execs possess. Like I said: Salesforce Commerce Cloud mastery is essential, given that my client's business involves medical-grade skincare requiring sophisticated regulatory compliance, professional channel integration, and complex product configurations that consumer platforms cannot handle. Their $40M-$50M ecom P&L requirement means you'll need a proven ability to manage complex unit economics in competitive beauty markets while meeting institutional investor reporting standards. Sharpen your pencils! Moreover, you'll need to understand the mechanics of premium brand storytelling and know how to translate things like "clinical efficacy" into plain, simple language your customers understand. There's a fine line between maintaining medical credibility and appealing to your target customer's wants, needs, and desires. Don't forget: There are FDA restrictions on therapeutic claims, so you can't just "say anything" in an effort to build trust through scientific validation and professional endorsements. In this role, we are looking for someone with proven experience with conversion rate optimization, omnichannel analytics, and subscription based revenue models. Cross-functional leadership experience is a must, as is a working knowledge of Salesforce Commerce Cloud. Given that you'll have some involvement with private equity operating partners, financial literacy is essential. About the Compensation This is an on-site role, and the client offers relocation. This is not remote, so don't ask about it. (Sorry.) You can plan on this role maxing out at $165,000 base. Depending on where you live, that's a lot of money. If you live in New York, that will be like getting a (very) nice raise. If you live in Atlanta, let's just say you won't be taking this job for the money. You'll be taking it purely because it's an amazing gig. Which it totally is. Just to reinforce the point: This afternoon, I spent an hour on the phone with this role's hiring manager (your new boss), going back-and-forth about the actual cities where I should be recruiting for this position. Certainly New York is one of them. San Francisco is another. Seattle is another. Take a look at the following cost of living numbers I pulled up off of Perplexity.CitySingle PersonFamily of 4Rent (1BR, city center)Rent (2BR)Notable CommentaryNYC$6,389$10,338Not specifiedNot specifiedHighest cost for both singles & familiesSan Francisco$5,897$8,833~$4,869Not specifiedMost expensive US city (housing)Seattle$4,646$7,663~$2,252Not specified3rd most expensive in the US; high housingLos Angeles$4,530$7,417~$2,000~$2,600High cost, but lower than NYC/SF/SeattleAtlanta$3,318$5,861~$1,629~$1,929Considerably more affordableChicago~$2,180Not specified~$2,180~$2,972Moderate to high, but below coastal cities What this Means It means that my target A-player for this position is a rising star who, up to this point in their career, has been entrusted with a lot of responsibility and is looking for an opportunity to live in a sunny climate, working with a smart as hell team, while doing a very high profile job that will get her noticed by a lot of important people. You'll have a ton of opportunity for personal and professional growth, which frankly is the right reason to take any great job. But I thought I would bring this up now because it's not uncommon for me to receive a ton of applications from great candidates to think that once my client meets them, they'll pay more. In this case, that's not likely to happen. I'm just being honest. If you've made it this far in the job posting, then you're obviously intrigued. While you're thinking about it, head over to YouTube and look at some drone footage of the beaches around LA County ... How awesome is that? You could live there! And if you are a rising star in the industry, it will be affordable. But if you have a big family, maybe not so much. You won't believe how much we know about this search ... I spent a ton of time on the phone with the client teasing out exactly what you’ll need to KNOW and DO to hit the ground running in this role. Some of the things I can share with highly qualified candidates include ... • The "real" background requirements for this position, along with the top five things all resumes MUST have to be considered for the role., • The top five problems that exist due to this position being open. These are the little brush fires you will be expected to put out during your first month on the job. Every ecommerce job has these — and this one's no different., • What your average day/week will look like in this role. There's what you read in the standard ecommerce job posting ... then there's reality. We've got the reality., • The leading and lagging KPIs that will determine your success in this role. In a nutshell: How you'll keep score., • The major projects you’ll need to complete by Day 100 to be considered a home-run in this position. We’ve got the lowdown on how you can plug-and-play and drive REAL value in this ecommerce job. I have a massive amount of proprietary intel to share with qualified candidates. My industry research for this assignment exceeds 100 pages! Be sure to TEXT me, Harry Joiner, at (404) 281-2025 for this info. Or simply use the email link when you apply for the role below. Essential Duties And Responsibilities eCommerce Operations • Execute the North American eCommerce strategy aligned with broader business goals and digital objectives, • Manage the direct-to-consumer digital business, ensuring consistent growth in awareness, engagement, and revenue, • Lead initiatives that improve the customer journey from discovery through conversion and retention, • Oversee eCommerce merchandising strategy, promotions, seasonal campaigns, inventory planning, content and analytics, • Build strong partnerships with internal stakeholders (Finance, Marketing, Product Development, Supply Chain, Customer Service) to ensure North American business achieves its goals, • Manage third-party agencies, system integration partners and vendors (developers, subscription platforms, CRO tools, etc.) Digital Execution • Manage and implement an ecommerce roadmap to drive revenue, profitability, and customer satisfaction, • Launch new capabilities with a focus on loyalty, personalization, and content, • Champion the customer experience by improving UX, streamlining journeys, and delivering personalized content, • Identify and integrate emerging digital capabilities to drive differentiation and engagement Data & Analytics • Provide weekly and monthly sales reporting with defined KPIs, • Surface actionable insights using customer surveys and digital analytics, • Test and refine site experiences to improve conversion and retention rates, • Track the ROI of digital investments with clear reporting on customer growth, engagement, and eCommerce performance Performance & Optimization • Use data and testing to identify friction points in the customer journey and prioritize improvements, • Collaborate with Finance to develop budget scenarios tied to sales goals and marketing investments, • Work closely with Planning teams to align inventory with demand, optimize assortments, and ensure product availability, • Provide regular reporting to senior leadership on DTC performance Qualifications • A Bachelor’s degree is required, preferably in a Marketing, Communication or related field; advanced degree preferred., • A minimum of 12 years of experience in eCommerce or digital marketing, preferably in beauty, skincare, or CPG is required, with a minimum of five years in a management role with DTC responsibility., • Proven success scaling an eCommerce business and achieving revenue targets., • Proficiency in Salesforce Commerce Cloud and analytics tools (Google Analytics, etc.)., • Experience with CRM/email marketing (Klaviyo), conversion rate optimization (CRO), and A/B testing platforms., • Strong understanding of digital advertising, SEO, and retention strategies., • Exceptional project management and communication skills., • Passion for skincare and understanding of the beauty consumer a plus. Additional Skills And Abilities Include • Adaptive, responsive individual able to thrive in an extremely fast-paced and dynamic work environment; handles pressures well; adjusts plans to meet changing needs., • A team player who works well with a variety of field-based sales groups, cross-functional teams, brand leadership, global and clinical/retail partners., • Excellent organizational, time and project management skills., • Stay updated with market trends and competitor activities., • Excellent communication and negotiation abilities., • Problem-solving and decision-making capabilities.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Swedish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Russian, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in German, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level English (UK, CA, AU) proficiency and a university degree (Bachelor’s or higher)., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Finnish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Dutch, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Polish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $38/hour, • Contract Duration: 1-year contract with possibility of extension Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. What You’ll Do • Support quality and execution across DLA teams, ensuring work meets defined standards at scale, • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency, • Act as the first line of support for DLAs — answering questions and helping interpret guidelines, • Help DLAs navigate ambiguity and apply evolving instructions effectively, • Support onboarding and training of new DLAs through hands-on guidance and coaching, • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads, • Identify patterns, recurring issues, and edge cases in both human and model outputs, • Participate in calibrations, team discussions, and stakeholder syncs, • Contribute to improving guidelines, processes, and overall team performance, • Document findings and feedback in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 2–4 years of experience in data annotation, content quality, QA, or related fields, • Strong ability to interpret and apply complex guidelines with consistency, • Excellent attention to detail with a high bar for quality, • Ability to stay consistent while working with evolving guidelines and priorities, • Experience in AI/ML data workflows or human-in-the-loop evaluation environments, • Prior experience auditing or reviewing the work of others, • Familiarity with safety, compliance, or policy-driven content evaluationBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Spanish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Italian, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Hungarian, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Czech, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on locationWhy This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Knock is on a mission to help products communicate with their users in a more thoughtful way. Building product notifications in-house takes months, often leading to poor user experiences. We believe that—when done right—product notifications help users find value in the products they use every day. That’s why we built Knock. We're a remote-first (with a NYC base) Series A startup of 25 employees that believe in the power of great software. We're APIs all the way down at Knock—Stripe for payments, Algolia for search, WorkOS for SSO. We're excited to add Knock to that list and to push forward the API-first movement. If you are, too, come join us and let's build something great together. We’re backed by top investors and operators including Craft Ventures, Afore Capital, Preface Ventures, Worklife Capital, Guillermo Rauch (CEO/Founder @ Vercel), Scott Belsky (CPO @ Adobe), Adam Gross (CEO @ Heroku), and John Kodumal (CTO @ LaunchDarkly), to name a few. We’re looking for a software engineer to join our small but growing platform team. Platform engineering at Knock is the foundation for everything else we do. Because Knock is built by and for engineers, there’s a blurry line between “platform” and “product.” The product is the platform. The platform team is a specialized engineering team at Knock that designs, builds, and maintains the infrastructure and services needed in order to run our product. They are responsible for the availability and reliability of our service, from API to notification engine execution. They support the product engineering team in their role to build and ship customer-facing features. Knock’s platform engineers orient around measurable goals set by our CTO, and work with a high degree of autonomy to achieve greater scale, resilience, and performance for our customers & partners. This is a high-agency role. As a team member, you’ll craft and own initiatives to help us hit our goals. The team collaborates heavily, but each individual has decision-making authority over their initiatives. We care deeply about building a team and culture that is inclusive and equitable for people of all backgrounds and experiences, and believe firmly that the best teams are diverse. We particularly encourage people from underrepresented communities to apply. Last thing: you can be a great fit even if you don't perfectly match the requirements below. We know there's a lot we don't know and haven't thought of yet, and we're looking for teammates who can tell us what those things are. If that's you, don't hesitate to apply and tell us about yourself! As a platform engineer you’ll contribute across a range of scaling, product and DX initiatives. By way of example, here are some platform team highlights from the last year: Facilitated a 8x YoY increase in monthly messages sent Significantly improved latency and margins of our observability product features by adopting ClickHouse for event data _ Instrumented our services with distributed tracing Over the next year you may find yourself working on: Scaling our service for the next several growth multiples (billions of txns/month) Large-scale dynamic user segmentation Multi-region support Canary deploys We’re looking for a senior engineer (5+ years of experience) While experience with our stack is not required, you should be very comfortable with multiple levels of the modern backend stack. For example, you might have experience with GCP or AWS, a modern language, container orchestration, and a tool such as Chef or Ansible. We work primarily with Elixir, Terraform, Kubernetes, and AWS. We’d love to see expertise in an area that complements our team’s skillset, be it databases, event-driven architectures, security, dev tooling, etc. The ideal candidate will have experience building and operating large-scale production systems at a high-growth startup. Strong written and verbal communication skills are a must. The team is internationally distributed and relies heavily on asynchronous communication. Our backend services are primarily written in Elixir (which runs on the Erlang VM). We build our front end using Next.js in TypeScript, powered by GraphQL. Our code runs in AWS on EKS using a mixture of Postgres on Aurora, Redis, MongoDB, and ClickHouse for data storage. All our infrastructure is written in Terraform and continuously deployed via Terraform Cloud. All Knock engineers have access to Claude, Cursor & Devin licenses and budget for LLM API spend (e.g. Claude Code). We’re finding that AI tooling increases our leverage as a small team, but we’re also clear-eyed about AI’s current limitations. You don’t need to be all-in on AI to join this team, but you should be curious and willing to learn with us.

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Senior Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our_ to learn more about what our team is working on! The GRC (Governance, Risk and Compliance) organization is the primary org responsible for developing and maintaining Vanta's core product offerings. These teams are at the heart of Vanta moving upmarket to support enterprise customers and build products that enable our customers’ existing security and compliance programs to integrate seamlessly with Vanta, giving them invaluable insights and recommendations to continue to operate, mature and evolve their programs. What you’ll do as a Senior Software Engineer at Vanta: Lead complex projects with multiple stakeholders and engineers to deliver significant impact to our business Set direction for critical technical surface areas, enabling us to stay ahead of continued rapid growth Design, develop, and own new product functionality and/or infrastructure leveraging modern frameworks and tooling (TypeScript, React, Node.js) Work with talented and kind engineers to make a significant impact on our customer base, enabling them to improve their security and prove it Contribute to building Vanta’s engineering culture as we grow How to be successful in this role: Have at least 8 years of industry experience Have played technical leadership roles for teams or complex projects Have previous startup experience, or worked in an environment that prioritizes a bias for action Have previous experience working on greenfield projects Have an interest in learning about security or prior experience in the space What you can expect as a US-based Vanta'n: Industry-competitive salary and equity Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans 16 weeks fully-paid Parental Leave for all new parents Health & wellness stipend Remote workspace, internet, and cellphone stipend Commuter benefits for team members who report to the SF and NYC office Family planning benefits Matching 401(k) contribution with immediate vesting Flexible PTO policy, plus 80 hours of Sick Time 11 company-paid holidays Virtual team building activities, lunch and learns, and other company-wide events! Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-Remote At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with AI engineers, backend engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 6+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts., • Strong proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github. About the Role As a Cloud Machine Learning Evangelist, your goal will be to increase the impact of the Hugging Face ML Cloud team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Cloud team is working through strategic collaborations with the most used Clouds (AWS, GCP, Azure, Cloudflare), AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: • Publishing technical blog posts, • Contributing documentation and code examples, • Speaking to business and technical audiences at partner conferences,, • Participating in, or producing webinars, • Building and evangelizing demos, • Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the Cloud ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Location: Remote-friendly. Preference for SF Bay Area, Los Angeles, NYC, or Pacific Northwest. Sleeper is on a mission to connect people over sports through games and community. As one of the fastest-growing platforms in the fantasy sports and real-money gaming space, we’re redefining how sports fans engage—whether it’s through season-long leagues, pick’em contests, or real-time interactions with friends. Our team is lean, passionate, and product-driven. We obsess over user experience and believe that building delightful, fast, and reliable products is the best way to grow. Backed by some of the most respected investors in Silicon Valley, including Andreessen Horowitz and General Catalyst, we're building the future of sports engagement. We’re looking for a Staff Software Engineer - Backend to help us scale the core systems behind our fantasy sports and DFS (Daily Fantasy Sports) offerings. In this role, you’ll drive architectural decisions, build critical backend services, and mentor fellow engineers as we scale to support tens of millions of passionate sports fans. As a senior technical leader, you’ll collaborate cross-functionally to bring innovative features to life—from real-time contest engines and game logic to personalized content and secure, seamless payments. You’ll be empowered to own major parts of the backend stack and help define what "great" looks like in terms of performance, scalability, and reliability at Sleeper. Design and build core backend systems that power Sleeper's games and real-time user experiences—fantasy contests, Sleeper Picks, user profiles, leaderboards, and more. Architect scalable, distributed systems capable of handling millions of concurrent users with low latency and high availability. Lead backend initiatives from concept to deployment, ensuring clean interfaces, well-documented services, and resilient infrastructure. Optimize system performance and proactively address bottlenecks through monitoring, profiling, and capacity planning. Collaborate cross-functionally with product, design, and frontend teams to deliver features that users love. Mentor engineers, provide thoughtful code reviews, and shape backend engineering best practices and standards. Drive innovation, technical direction, and team culture as a key engineering voice at the leadership level. 7+ years of backend software engineering experience, including experience in staff-level or tech lead roles. Proven ability to design and scale distributed systems that serve millions of users in real-time or gaming environments. Strong proficiency in one or more backend languages (e.g., Go, Python, Node.js, Java), and an understanding of trade-offs between them. Deep knowledge of databases (both SQL and NoSQL), caching strategies, and message queues (e.g., Kafka, RabbitMQ, Pub/Sub). Comfortable designing and maintaining RESTful and/or graphql APIs, data models, and internal tooling. Cloud experience (AWS, GCP, or similar), with familiarity with containers (Docker) and orchestration (Kubernetes a plus). Strong product mindset—you care about the why, not just the how, and you build with users in mind. Excellent communication and collaboration skills. You elevate your teammates and enjoy mentoring. Bonus: Passion for sports, gaming, or building multiplayer or real-time systems. Massive Impact – Your work will touch millions of users and help shape the next generation of sports entertainment. High Ownership – We trust our engineers to make high-leverage decisions and drive meaningful outcomes. Startup Agility – Move fast, ship often, and see your work in the hands of users quickly. Culture-First Team – We’re a team of builders, thinkers, and sports lovers who value humility, collaboration, and having fun along the way. Competitive salary ($225,000–$300,000/year not inclusive of stock options and benefits) Equity Comprehensive medical, dental, and vision insurance 401(k) with company matching Generous PTO and flexible remote work policy Opportunities for fast career growth in a high-impact role A small, focused team where your contributions truly matter Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. Competitive salary plus benefits including Medical, Dental, PTO, 401k. Please note that The salary range for this role ($225,000 to $300,000 per year salary) takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app. Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at:_

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: • Our mascot is a rock, • We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad), • We have a designated Chief Emoji Officer - they are vital to our success!, • We like software that’s serious and culture that’s not Most people skim to 'requirements' and bounce. You're actually reading this. That's the kind of thoroughness we respect, or you're just procrastinating. Either way, same same and you should keep reading. Our Customer Data team builds the systems that ensure customers see fair, clear billing and reliable consumption data. We handle billing, metering, limits, and usage tracking—the systems that make sure every byte is counted correctly and every invoice is accurate. Our systems must be correct, explainable, and defensible under real-world conditions: traffic spikes, partial failures, customers changing behavior mid-stream, and someone always asks: "Why does my bill look like this?" When things work, nobody notices. When they don't, suddenly everyone has opinions about distributed data systems. Is the bug due to caching? You'll be the one who actually knows. • Build the billing backbone: You'll maintain and evolve our billing and metering infrastructure—Stripe Orb integrations, usage aggregation systems, and everything that turns traffic into invoices. Accurate invoices. The kind customers don't dispute., • Track everything that matters: You'll build event tracking pipelines for traffic events, session logging, and usage patterns. You'll develop traffic inspection systems for compliance and analytics. Every request counted, every session tracked, no "lost" data explaining why the numbers don't match., • Own customer-visible usage and billing insights. Build and evolve the systems that turn raw product usage into clear, accurate, and trusted views of what customers are using and why they’re charged—eliminating billing confusion before it happens., • Handle the infrastructure details: You'll manage IP metadata services and the systems that connect traffic patterns to customer accounts. You'll ensure billing reliability—accurate invoices, automated refund processing, and reconciliation that actually reconciles., • Ship systems people trust: You'll work closely with product, platform, finance, and support. Finance will have questions. They always do. You'll make their day by actually having the data they need., • You’ve built backend or data-heavy systems that were held to high standards of correctness, • You’re comfortable in a statically typed, compiled language such as Go, Rust, C++, or Java (with bonus points for Go), • You’ve worked with event streams, usage data, or high-volume pipelines, • You enjoy thinking about data models, invariants, and failure modes, • You care about developer experience, including for people consuming your data, • You're the person people ping when the numbers don't add up and nobody else can explain why Extra credit if you’ve worked on: • Metering, billing, or pricing systems (but not limited to them), • Event-driven or streaming architectures, • Customer-facing analytics or usage reporting, • Systems where small discrepancies become large conversations ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything. This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays. All candidates must be US-based, and legally authorized to work in the United States. At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship. Senior Software Engineer • Tier 1 (SF, LA, Seattle, NYC): $180,000 – $225,000, • Tier 2 (rest of US): $165,600 – $207,000 Software Engineer III • Tier 1 (SF, LA, Seattle, NYC): $160,000 – $200,000, • Tier 2 (rest of US): $147,200 – $184,000 Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity. #LI-Remote Compensation for this role depends on level, but we provide a competitive mix of salary and equity. We provide a 401(k) with a 100% match up to 3% of your salary and a 50% match up to another 2%. We provide healthcare, dental, and vision with premiums fully covered on the base plan for employees. Half of premiums are covered for dependents. We offer unlimited PTO and a culture in which the overwhelming majority of employees take more than four weeks. Your manager is also on the hook for encouraging you to do the same.

About Us: YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare. Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact. We have been recognized multiple times as one of _. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency. With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets. About SpendHound: is a software vendor management platform and benchmarking service launched by YipitData. We’ve experienced explosive growth by re-defining the business model for this category. (See this from SpendHound’s Senior Product Manager!) • SpendHound is the single source of truth for companies’ renewal information and includes:, • A comprehensive view of all software applications used with annual contract values, auto-renewal information, renewal dates, license counts, and more, • An invoice and contract management system for companies to store their invoices and contracts, • Renewal reminders through email and Slack so companies never miss upcoming software renewals, • Advice from procurement experts to discuss price benchmarking insights and negotiation strategies for any upcoming renewals, • Software and AI benchmarks across more than 10,000 vendors to help negotiate better rates across vendors, • Companies use the SpendHound platform and procurement expert service to save time and money on their software renewals. Why You Should Apply NOW: We’ve grown from 40 customers to over 1000 customers and have expanded from a single point solution to a multi-modal platform in 2 years. As we continue to scale, Outsourced Finance partnerships are becoming a critical part of our go-to-market strategy. We are seeking a Channel Sales Manager to own and grow our strategic relationships with outsourced finance partners and drive revenue through these partnership channels. About The Role: In this role, you’ll have a unique opportunity to help scale the Outsourced Finance partner motion. You will act as the central point of contact for our finance partner ecosystem and play a key role in driving both partner engagement and sales outcomes. Your goal is to build and manage relationships that drive consistent partner-sourced opportunities, resulting in new SpendHound customers. This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, or Mountain View), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As Channel Sales Manager, You Will: • Serve as the primary relationship manager for an initial portfolio of ~5 outsourced finance partner companies that we expect to grow to 10-20 over the coming months, • Build strong communication channels with partners, ensuring alignment on priorities, objectives, and performance expectations., • Help grow the channel through targeted business development via referrals and cold outreach, • Own customer targets tied to partner-sourced opportunities, including forecasting, pipeline tracking, and achievement of monthly/annual goals., • Help define the playbook to scale this motion across many possible partners., • Develop and manage joint go-to-market strategies with partners to drive mutual value and accelerate customer acquisition, including scalable processes and playbooks for partner enablement, co-marketing, and referral workflows., • Collaborate closely with internal teams (Sales, Marketing, Customer Success) to enable partners with the tools, training, and information needed to succeed., • Monitor partner performance, report key metrics, and implement initiatives that improve outcomes for both partners and the company., • Act as an advocate for partners internally, ensuring feedback loops for continuous improvement. You Are Likely To Succeed If: • Enjoy scaling new programs from the ground up and are comfortable experimenting and navigating ambiguity, • Are a strong communicator with the executive presence to engage senior leaders and represent SpendHound externally, • Results-oriented with proven success in meeting sales targets through indirect channels., • Thrive in fast-paced, cross-functional environments and know how to keep momentum moving across teams, • Are proactive, self-directed, and take ownership without waiting for permission, • Have 3-5 years of experience in partner/channel sales, alliances, or business development roles in a tech or services business. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: • We care about your personal life and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!, • Your growth at YipitData is determined by your impact, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. The on-target-earning for this position is anticipated to be $150,000 USD ($100,000 Base + $50,000 Uncapped Bonus). The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. _

We believe that communication belongs to everyone. TextNow is redefining how people connect by combining simplicity, intelligence, and accessibility. We’re a team of curious builders using technology to make communication more affordable and powerful for millions of users every day. As a Software Developer - iOS, you won’t just build apps—you’ll shape the systems, architecture, and tooling that make them possible. At TextNow, Members of Technical Staff combine leadership and hands on coding to enable the highest leverage opportunities possible. Being able to operate strategically, as well as diving into the lowest level details is a must. You’ll take technical ownership of key mobile domains and work across mobile, backend, and data to create faster, smarter, more reliable products. As well, AI and automation are at the core of how we build. You’ll use them to accelerate development, improve performance, detect and resolve issues faster, and continuously raise the bar for mobile development excellence. We’re hiring Members of Technical Staff across multiple levels (intermediate/senior/staff+). Whether you’re an experienced developer looking to lead complex systems, or an early-career developer eager to grow, we’ll align your title and scope based on experience and impact. This role is about impact at scale. You’ll shape how TextNow builds and operates its backend systems—using AI and automation to make development faster, decisions smarter, and experiences more seamless for millions of users worldwide. • Design, develop, and sustain high-performance iOS applications using Swift, SwiftUI, and Objective-C., • Lead architectural modernization and modularization to improve scalability and cross-platform reuse., • Define and own the entire lifecycle of your systems: feature ideation, API design, instrumentation, deployment (CI/CD), live-traffic monitoring, unit/UI/e2e testing, user telemetry & data analysis, experiment design (A/B tests), and continuous iteration., • Influence and evolve our architecture: propose and lead initiatives to decompose monoliths, build shared libraries and frameworks, improve modularization, enable reuse across iOS, Android, Web; evaluate new Apple platform capabilities (e.g., new OS releases, device types, form factors, architectures) and lead their adoption., • Apply AI-driven tools and automation frameworks to speed up development, code analysis, testing, and reliability., • Leverage intelligent telemetry, analytics, and optimization pipelines to improve app performance and user experience., • Define observability standards, telemetry pipelines, and fault-tolerance strategies for production-grade systems., • Partner closely with product, design, backend, and data teams to deliver seamless, high-quality user experiences., • Drive technical discussions, mentor developers, and influence strategic direction across mobile platforms., • A technical leader with the ability to create and lead roadmaps/initiatives that align to high-level business objectives, • Deep expertise in Swift, SwiftUI, and modern concurrency (async/await, actors)., • Proven track record of architecting modular, maintainable systems that balance speed and reliability., • Strong background in performance optimization, observability, and system-level debugging., • Experience using AI and automation to improve developer velocity, reliability, or product intelligence., • A collaborative technical leader who thrives in fast-moving environments and mentors others to excel., • Passionate about creating elegant, high-performance mobile experiences across Apple’s ecosystem., • You architect for observability, reliability and production-readiness: you understand instrumentation, SLOs/SLIs, fault-tolerance, runbooks, incident triage, scalable telemetry pipelines, and production diagnostics for mobile clients., • You have been a technical leader (not just an individual contributor): you’ve influenced roadmap decisions, contributed to multi-team initiatives, mentored/led developers, driven culture/process improvements, and interfaced with senior developer/product leadership. $136,300 - $273,900 a yearCompensation The expected base salary range for this role is: United States (NYC, CT, NJ, Seattle, LA, San Diego): USD $136,300 - $273,900 United States (San Francisco / Bay Area): USD $148,700 - $298,800 United States (All other areas not listed above): USD $123,900 - $249,000 Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. Our goal is to offer a competitive package that reflects the impact and expertise you bring to the team. This posting is for a current, active vacancy.More about TextNow Our culture We’re proud of the culture that we’ve built at TextNow, but one of the most common questions we hear is ‘how do you continue to sustain it as the world and the company continues to change?’ The reality is that we’re only able to keep up because each and every TextNovian contributes to our culture through being involved, by living our values, sharing feedback, embracing change and more! Our values Customer Obsessed We strive to have a deep understanding of our customers. Do Right By Our People We treat each other with fairness, respect, and integrity. Accept the Challenge We adopt a "Yes, We Can" mindset to achieve ambitious goals. Act Like an Owner We treat this company like it's our own... because it is! Give a Damn We are deeply committed and passionate about our work and achieving results. Our benefits and more This is a brief overview of the benefits that TextNow offers its employees. More complete details can be found in TextNow’s Benefit Guide and legal plan documents, which are available to employees on or shortly after their start date with TextNow. The benefits listed herein are for illustrative purposes only and may change from time-to-time in TextNow’s sole discretion. Free phone service Strong work life blend Flexible work arrangements (work-from-home, remote, or access to one of our office spaces) Employee stock options Unlimited vacation 12 paid holidays per year Competitive pay Health, dental, and vision benefits Short-term & long-term disability $750 annual wellness benefit or healthcare spending account 401(K) matching Parental leave for eligible employees Learning & Development opportunitiesWe travel a few times a year for various team events, company-wide off-sites, and more More information about our total rewards package will be available during the hiring process. Dogfooding & Customer Obsession At TextNow, every employee gets to actively use our app for calling and texting. Dogfooding helps us experience what customers do, to spot issues early, and drive better design, developer, and user experiences. Diversity and Inclusion Our aim is to make every person who joins TextNow feel like they belong, that they’re valued, and that they’re able to be their authentic selves at work. We’re all accountable for creating an inclusive culture and a sense of belonging for one another. By doing this together, we’ll make TextNow better for everyone. Equal opportunity We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Applicants who require reasonable accommodation during the hiring process may contact our Talent Team. TextNow Candidate Policy By submitting an application to TextNow, you agree to the collection, use, and disclosure of your personal information in accordance with the _ AI usage We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact our Talent Team. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? Flex is looking for a Software Engineer who will be responsible for implementing the various backend systems that support all business features. In this role, you will be part of the backend engineer team, responsible for the services and integrations that power our products, such as Payment, Billing, Identity, partner integration, etc. You’ll be designing, developing, testing, and scaling systems needed to deliver great user and partner experiences. You’ll work closely with your product, design and engineering peers to solve our users' most pressing problems around rent payment. You’ll roll out changes to our customers in an agile manner with a delivery cadence that favors small, frequent iterations. The ideal candidate will be comfortable leading scoping, design and implementation for APIs they build and can drive their production rollouts to completion with minimum oversight. A minimum of 4 years of experience with Java is required for this position. • Minimum of 6 years experience in software engineering, • Minimum of 4 years experience with Java, • Ability to work on a globally-distributed team with a high degree of ownership, • Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery, • Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best, • Experience building robust, fault-tolerant systems with multiple external dependencies, • Experience designing, building, and maintaining data pipelines, • Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC)., • Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures., • Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools., • Proficient in CI/CD systems (preferably GitHub Actions), git, and automation., • Skilled in observability and monitoring tools, such as DataDog, to ensure high availability., • Experienced with big data platforms and tooling, including Snowflake., • Proficient in Infrastructure as Code, using tools like CDK and Terraform., • Skilled at elevating team standards through best practices, and mentoring junior engineers., • Excellent written and verbal communicator, with experience in cross-functional collaboration. Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. • Tier 1 (NYC/SF/Seattle): $172,000—$212,000 USD, • Tier 2: $154,800—$193,500USD, • Tier 3: $146,200—$182,740 USD #LI-Remote We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits For full-time U.S. employees we offer: • Competitive medical, dental, and vision, • Company equity, • 401(k) plan with company match, • Unlimited paid time off + 13 company paid holidays, • Parental leave, • Flex Cares Program: Non-profit company match + pet adoption coverage, • Free Flex subscription For full-time non-U.S. employees, we offer: • Competitive compensation + company equity, • Unlimited PTO