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Job Description SCHEDULE 1st Shift: Mo - Fri 6am to 2:30pm. 2nd Shift: Mo - Fri 2:30pm to 11pm. 3er Shift: Mo - Fri 10pm to 6:30am. PAY RATE: $14 - $15 DOE POSITION SUMMARY To assist in the operation of various machinery to produce specific products in accordance with specs, instructions, measurements or prototypes. A degree of skill, technique and mechanical knowledge is required. May be assigned to different types of machines as production needs require. KEY RESPONSABILITIES • Load and unload materials onto or into machine by pushing, pulling, lifting, or stacking, either by hand or with equipment provided., • Move products, tools, pumps, hoses etc. to operate machines., • Inspect material during production run and report defective materials or questionable conditions to the lead operator., • Responsible for the functionality of the assigned coating station by maintaining mix level and pump pressure, rod speed and replacing filter bags as needed, • Relate with all co-workers in congenial manner., • Maintain the work area and equipment in a clean and orderly condition., • Always follow prescribed safety regulations., • Assist the team in cleaning machines, tools and department, • Other duties may be assigned to meet business needs., • Support the Lead/Supervisor in line operations, inspection activities, and demonstrate initiative in continuous learning and skill development., • Always maintain cleanliness of the department and all equipment., • Other duties may be assigned as business demands. QUALIFICATIONS KNOWLEDGE AND SKILLS • Basic comfort with mechanical applications to become familiar with basic machine functions., • Ability to apply common sense understanding to carry out simple one or two step instructions., • Must read and follow written instructions and add and subtract simple fractions., • Ability to work independently or in teams while maintaining a favorable working relationship with other company employees. EDUCATION Graduation from high school or GED equivalent preferred. One (1) year relevant experience or any equivalent combination of education and experience that demonstrates the ability to do the job. PHYSICAL DEMANDS • Regularly required to stand, stoop, kneel and/or crouch., • Capable to lift or move 50 lbs., • Occasionally required to climb or balance., • Ability to use hands to finger, handle or feel objects, tools or controls: reach with hands and arms; stoop, kneel, or crouch. WORKING CONDITIONS The work is performed in a warehouse environment. Workers are regularly exposed to dust, odors, noise and variable temperatures. The employee works with moving mechanical parts and machinery. BENEFITS • Medical, dental, and vision coverage., • 401(k) retirement plan., • Paid holidays and generous PTO., • Career growth and promotional opportunities., • And much more! The Marco Group is an equal-opportunity employer and complies with all applicable federal, state, and local non-discrimination laws. We provide equal employment opportunities regardless of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military/veteran status, or any other protected status. If you believe you have been discriminated against or have concerns about our compliance, please contact our Human Resources department.

Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $35.00- $58.00 per hour DOE, • Sign on Bonus: Up to $10,000.00 DOE, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: This position is responsible for assisting in the repair and overhaul of equipment, refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time. • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications:, • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school is a plus!, • Minimum 5+ years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets is a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on and . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance.

Job DescriptionCompany Description About KIPP Texas Public Schools KIPP Texas Public Schools is a free, public charter school network with more than 45 Pre-K - 12 schools across Austin, Dallas-Fort Worth, Houston, and San Antonio. With over 30 years in Texas, we work together with our families and communities to prepare students for college, career, and beyond! Our schools provide a high-quality, well-rounded education built on academic success and personal growth, where all students learn and thrive in a productive, safe, and joyful way! As one of the earliest charter networks in Texas—founded in Houston in 1994 and operating as KIPP Texas since 2018—we hire dynamic, collaborative, and dedicated individuals with an unyielding belief that every child will succeed. Join a Team and Family with an unwavering commitment to creating classrooms, offices, and communities rooted in academic success and joy. If you are passionate about joining a mission-driven community that wants every child to "run to school," the KIPP Texas Team and Family is for you! KIPP Public Schools is a national network of public charter schools that prepares students with the skills and confidence to create the future they want for themselves, their communities, and us all. We are a network of 278 schools with nearly 16,500 educators and 190,000 students and alumni. Job Description *Job Status: Please note that this is a general posting for current and potential future opportunities. At this time, there may or may not be a vacancy. We are collecting applications on a rolling basis and encourage you to apply. Your application will be reviewed and considered for any opportunity that matches your skills and experience. Please be aware that you may not receive communication regarding next steps until an aligned opportunity becomes available. We appreciate your interest in the role and KIPP Texas.* The College & Career Instructor is responsible for developing and teaching a college and career curriculum for high school juniors, which will support students in exploring and preparing for their post-secondary plan that helps them achieve their career of highest aspiration. In addition to teaching juniors, the College & Career Instructor is also responsible for building relationships and working with fellow teachers, school’s leadership team, local partner organizations and college / universities to ensure our students engage in experiences that help them expand their knowledge, connect them to resources, and develop and strengthen the skills they need to successfully matriculate to and thrive in their post-secondary education and beyond. It is the ultimate goal of the KIPP Forward department, through guidance, exposure and education, to ensure that all graduates have the ability to maintain success in their academic, professional, and personal lives. This role is an ideal opportunity for a highly motivated, collaborative, results-driven and service minded leader with a passion for seeing others embrace their potential to live a fulfilling life. Duties and Essential Job Functions: ● Teach a Postsecondary and Career Readiness Course focusing on self-exploration, goal setting, test prep, and college and career research and planning ○ Responsible for supporting KIPP juniors through rigorous and thoughtful lesson planning, lesson execution and classroom management ○ Collect, analyze and respond to student college and career data and classroom exit tickets to revise lesson content and priorities ○ Support students in registering for standardized tests and grounding them on the way ○ Foster a supportive learning environment within the classroom ○ Participate on the grade level leadership team ○ Other duties as assigned by the School Leadership Team ● Postsecondary and Career Counseling, Access and Knowledge development ○ Advise and coach all students, including students with unique circumstances , in a classroom setting ○ Create access to postsecondary resources and exposure opportunities ○ Write recommendations for students applying to scholarships, summer enrichment programs and eventually college ○ Schedule one-on-one meetings to learn about the families’ goals, needs and aspirations and introduce the Postsecondary Match and Career Exploration processes ○ Provide family engagement workshops related to postsecondary access and match ○ Support college and career programming including college visits (overnight or day), career site visits and speakers, college and career fairs, financial aid workshops, postsecondary and career readiness workshops to educate students and parents ● Collaborate with the KIPP Forward Team and other stakeholders to track and report data for support Postsecondary Access ○ Maintain consistent communication on students’ data progress with key stakeholders including: KIPP Foundation, KIPP Forward team, School and regional leadership, along with students and families ○ Collaborate with High School Leadership team to provide rigorous test prep and progress monitor ACT/SAT growth throughout junior year ○ Utilize various student management platforms to track, progress monitor and submit student data ○ Progress monitor all KIPP Forward postsecondary access goals including, but not limited to, YouScience Career assessment, FAFSA4Caster, balanced wishlists, summer enrichment applications, college application essays, Letters of Recommendation collection, and student and family one-on- ones ○ Attend, and actively participate in, all staff meetings, including weekly meetings with the Director of KIPP Postsecondary Match to discuss progress, prepare lessons, submit reports, etc. ○ Develop positive, appropriate relationships with fellow KIPP Texas staff members and teachers, viewing each other as teammates and professional colleagues ○ Responsibilities associated with this position may shift, expand and grow based on the regional needs of the organization Qualifications Required Education and Experience: ● Bachelor’s degree from an accredited four-year institution Preferred Education and Experience: ● Bachelor’s degree from an accredited four-year institution ● At least 2 years prior experience teaching high school students ● Experience working with high school students and their families in the college counseling field, strongly preferred Preferred Licensure/Certification/Specialized Training: ● Professional development course on college and career readiness and success, is essential Knowledge, Skills & Abilities: ● Resilience, strong work ethic and outcomes oriented—demonstrated ability to balance competing priorities under stress and follow through, despite sometimes tight or back to back deadlines ● Previous experience in using data to drive decision making strongly ● Comfort with working in a fast-paced, deadline-driven environment ● Strong interpersonal skills; Ability to work with a wide-range of people including teachers, parents, students, alumni, corporate partners, vendors and admissions personnel ● Ability to project plan, organize, and prioritize, with a collaborative spirit ● Fast learner with the ability to inquire and be open to feedback ● Proven written and verbal communication skills ● Bilingual (English/Spanish) preferred, but not required Physical Requirements: • Remaining in a stationary position, often standing or sitting for prolonged periods., • Constantly operates a computer and other office productivity machinery, such as a cell phone, copy machine and computer printer., • Moving about to accomplish tasks or moving from one worksite to another., • Communicating with others to exchange information., • Must be able to lift and carry or otherwise move up to 20 pounds occasionally. Work Environment: ● Able to meet school schedule (i.e. 7:30am-4/5pm - depending on Professional Development days) ● Able to work evenings, holidays and weekends as necessary Travel Requirements: ● Able to travel to other KIPP campuses for Professional Development, and chaperon students to college/university campuses and career site visits ● Able to travel for home visits with alumni and families as necessary Additional Information What We Bring to the Table: Comprehensive medical, dental, and vision plans with coverage options for employees and their families. Competitive vacation and flexible paid time off (PTO) policies. Paid family leave. Flexible spending account or high-yield HSA. Employee assistance programs. KIPP also offers the following employee-paid benefits: legal plans, LifeLock identity protection, life insurance and disability insurance. EEO: KIPP Texas is an Equal Opportunity Employer. KIPP Texas ensures equal employment opportunities regardless of race, creed, gender, color, national origin, religion, age, sexual orientation, or disability. Any individual needing assistance in making an application for any opening should contact the Talent Team. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job duties. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment

Job Description Job Responsibilities: • Supervise the creation, advancement, and implementation of scalable and dependable SaaS solutions, • Guide the technical strategy and roadmap, aligning it with the overarching objectives and goals of the company., • Lead and oversee a team of engineers located across the globe, furnishing them with mentorship, direction, and assistance to nurture their professional growth., • Foster close collaboration with cross-functional groups, encompassing product management, design, and quality assurance, to ensure the successful release of top-notch software products., • Take responsibility for project schedules, resources, and deliverables, guaranteeing that the team fulfills commitments and project aims for cloud-based solutions., • Offer technical leadership by consistently evaluating and enhancing engineering procedures, tools, and methodologies. Keep abreast of the latest trends and finest practices in the domain, deciding when and how to incorporate them. Job Requirements: • Possession of a Bachelor's degree in Computer Science, Engineering, or a related field; possession of an advanced degree is advantageous., • A minimum of 5 years of experience as an Engineering Manager, overseeing globally dispersed engineering teams in dynamic settings., • A verifiable history of successfully deploying intricate B2B applications, preferably having taken startups from inception to initial release., • Proficiency in cloud architecture and services, coupled with a solid grasp of cloud platforms like AWS, Azure, or Google Cloud., • Familiarity with data engineering, data science, machine learning, and/or developing LLM (Language Model) products., • Profound knowledge of Agile/Scrum methodologies and a demonstrated record of steering and cultivating engineering talent (both domestic and international), extending guidance and support to foster professional growth in cloud technologies., • Exceptional communication and interpersonal abilities, underscored by the capability to collaborate efficiently with multifunctional teams and stakeholders concerning cloud-based solutions., • Prior experience using data-driven decision-making frameworks for management and work execution., • Knowledge of Twilio or other telecommunication systems is an advantageous addition.

Job Description Junior Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers. With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. What You'll Do: Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification. Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability. Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture. Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions. Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges. What You'll Need: Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career. At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics. A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications. Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Experience with embedded systems and integrating computer vision algorithms into hardware. Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems. You enjoy collaborating with other engineers to solve complex technical challenges. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionPOSITION SUMMARY We are seeking a visionary Lead AI Architect to lead the design and implementation of next-generation AI solutions by bridging our Salesforce CRM ecosystem with AWS cloud infrastructure. In this strategic role, you will be responsible for architecting scalable Generative AI applications that enhance customer engagement, automate complex workflows, and unlock predictive insights. You will serve as the technical authority on how Salesforce Data Cloud, Einstein Trust Layer, and Amazon Bedrock interact, ensuring our AI solutions are secure, scalable, and impactful. You will move beyond simple integrations to build robust "Bring Your Own Model" (BYOM) architectures. PRIMARY RESPONSIBILITIES AI Strategy & Architecture (40%) Define the end-to-end architecture for Generative AI solutions, integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker. Design "Bring Your Own Model" (BYOM) patterns, allowing Salesforce to securely access Foundational Models (FMs) hosted on AWS (e.g., Claude, Titan, Llama 2) via Bedrock. Architect the data ingestion and grounding strategies (RAG - Retrieval Augmented Generation) to ensure AI models have access to real-time, unified customer profiles from Data Cloud. Establish the governance framework for AI, ensuring compliance with the Einstein Trust Layer regarding data privacy, zero-data retention policies, and PII masking. Implementation & Development (30%) Lead the technical implementation of Model Builder and Prompt Builder within Salesforce, connecting them to external AWS endpoints. Configure Amazon Bedrock agents and knowledge bases to execute complex tasks and retrieve proprietary data for Salesforce users. Develop serverless middleware using AWS Lambda and API Gateway to facilitate low-latency communication between Salesforce Flow/Apex and AWS inference endpoints. Oversee the fine-tuning of models on AWS SageMaker when out-of-the-box Bedrock models require domain-specific adaptation. Cross-Functional Collaboration (20%) Partner with Data Engineers to ensure Salesforce Data Cloud is correctly ingesting, harmonizing, and activating data streams from S3, Redshift, and other sources. Collaborate with Salesforce Administrators and Developers to embed AI outputs directly into the flow of work (Service Console, Sales Cloud LWC, etc.). Act as the subject matter expert for Product Managers, translating "AI buzzwords" into viable technical roadmaps and realistic deliverables. Optimization & Innovation (10%) Monitor LLM performance, latency, and token costs; implement caching strategies and model selection logic to optimize spend. Stay ahead of the rapid evolution in the Salesforce/AWS partnership, evaluating new features like Zero Copy Data Sharing and Vector Databases. QUALIFICATIONS Required Technical Skills: AWS AI/ML Stack: Deep expertise in Amazon Bedrock is mandatory. Experience configuring Bedrock Knowledge Bases, Agents, and Guardrails. Proficiency with AWS Lambda, API Gateway, and IAM for secure cross-cloud access. Salesforce AI Stack: Strong working knowledge of Salesforce Data Cloud, Einstein 1 Platform, and the setup of Model Builder/Prompt Builder. Architecture: Experience designing RAG (Retrieval Augmented Generation) architectures and Vector Database integrations (e.g., OpenSearch Serverless or Pinecone). Integration: Expert-level knowledge of REST/gRPC APIs, OAuth flows, and named credentials for secure Salesforce-to-AWS connectivity. Programming: Proficiency in Python (for AWS Lambda/Boto3) and familiarity with Apex (for Salesforce triggers/callouts). Experience: 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science. 3+ years specifically focused on AI/ML solutioning or Data Engineering. Proven track record of deploying at least one Generative AI solution into production (not just POCs). Experience implementing "Zero Copy" architecture between Salesforce and Data Warehouses (Snowflake/Redshift) is a major plus. Certifications (Preferred): AWS Certified Solutions Architect (Professional) AWS Certified Machine Learning – Specialty Salesforce Data Cloud Consultant or AI Associate KNOWLEDGE, SKILLS, AND ABILITIES LLM Fluency: Deep understanding of context windows, prompt engineering techniques (Chain of Thought, ReAct), and embeddings. Security First: A paranoia for security—understanding how to prevent prompt injection and ensure data residency compliance when data leaves Salesforce for AWS. Communication: The ability to explain to a generic C-suite executive why we need a Vector Database without losing their attention. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Austin, TX$152,800—$191,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Job Description Company Background: Ownwell has developed a leading end-to-end property tax solution that is purpose-built for SFR and CRE investors, operators, and property managers. We have brought Data Science and Machine Learning to a space that is ripe for disruption. We combine a best-in-class technology stack with local market expertise to reduce expenses, increase Net Operating Income, and drive operational efficiency for both our institutional clients and individual homeowners. Ownwell's solution ensures you have the necessary tools, resources, and information to confidently manage your property taxes. Ownwell has been recognized both in Austin and Nationally, as a top workplace by the likes of Fortune, BuiltIn, Inc, and Best Places To Work. We are well-funded and venture-backed by some of the best investors in the world such as First Round Capital and Bessemer Venture Partners. Our customer base has grown by more than 300% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We've brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data Scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do • Customer Obsession, • Take Ownership, • Do The Right Thing, • Go Far Together, • Accelerate InnovationMeet the Partnerships Team: Ownwell's partnerships team is a lean, high-performing group that drives an increasing proportion of Ownwell's growth. We recruit, activate, and manage relationships across the real estate and financial services ecosystem—from mortgage servicers and proptech platforms to regional brokerages and property management companies. We're builders who thrive on closing deals, launching creative partnerships, and seeing our partnerships translate into real revenue and customer growth. The Role: We're looking for a Business Development Manager to join our Partnerships team and drive growth by recruiting, closing, and activating new channel partnerships across the real estate ecosystem. This role will be responsible for building pipeline, negotiating deals, and ensuring new partners launch successfully. You'll own the full cycle from prospecting through activation and enablement. You'll work closely with the Head of Partnerships to execute on our partnership strategy, while partnering cross-functionally to ensure seamless partner onboarding and campaign launches that drive measurable revenue impact. Responsibilities: • Build and manage a robust pipeline of qualified partnership opportunities through outbound campaigns, conferences, referrals, and industry research., • Lead end-to-end deal cycles, including recruitment, discovery, negotiation, contract execution, and onboarding., • Own partner activation by working with new partners to launch co-marketing campaigns, enablement programs, and referral initiatives that drive customer acquisition for Ownwell., • Develop partner-facing materials, including training decks, marketing assets, and sales collateral, to ensure partners can effectively promote Ownwell to their audiences., • Monitor partner performance and proactively engage to optimize referral volume and conversion rates., • Identify and execute on reactivation opportunities with dormant partners to bring them back to productivity., • Represent Ownwell at industry events, conferences, and networking opportunities to build brand awareness and source new partnerships., • Drive partner-sourced customer acquisition and revenue growth through new partnerships, partner activations, and reactivations.Competencies:, • 2-5 years of experience in business development, partnerships, sales, or account management, ideally in B2B2C or channel partnership models., • Proven track record of prospecting, closing deals, and driving revenue through partnerships or sales channels., • Experience in real estate, proptech, fintech, or property management is a strong plus but not required., • Exceptional relationship-building and communication skills with the ability to influence, negotiate, and build trust with partners at all levels., • Entrepreneurial and scrappy with a comfort in ambiguity, taking ownership of outcomes, and figuring out how to get things done in a fast-paced startup environment., • You love prospecting, building a pipeline, and closing deals. The chase energizes you, and you thrive when you have aggressive targets to hit., • You move quickly from strategy to action. You don't wait for perfect—you launch, learn, and iterate., • You understand that partnership success requires enablement, not just contracts. You're invested in helping partners win, so Ownwell and our customers win., • You collaborate effectively across functions and understand that partnership success requires strong internal alignment. Ownwell offerings • Entrepreneurial culture. Own your career; we are here to support you in the journey., • Access to First Round Network to build your community outside of Ownwell., • Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We offer the last week of the year to recharge and reset., • Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage., • Learning support through a $1,000 stipend per year to enable investing in your individual learning needs., • Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent., • As applicable complimentary real estate and tax consulting licensing and renewal Ownwell's vision is to democratize access to real estate expertise. When we say we want to provide access, we mean providing access to everyone. To do that well, we need a team that's broadly representative. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Ownwell is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other status.

Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat! AI Strategist This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies. What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware. This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. What experience should you have: • 10-15 years of experience in strategist or consulting role., • Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices., • Ability to articulate complex ideas simply and credibly, and create executive-level presentations., • AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense)., • Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption., • Hands-on experience driving adoption of Generative AI solutions in the enterprise, • Bonus Points: AI governance certification preferred What you'll be doing in this role: • Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business., • Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients, • Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs. • Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients., • Focus, lead and mentor the teams to deliver measurable results., • Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). What you'll need to accomplish in your first year: • Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making., • Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time., • Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on. Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

Job Description Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: avathon.com About the Role This is a high-impact leadership role designed for a strategic talent acquisition professional who combines operational excellence with the ability to build scalable recruiting programs that fuel company growth. As Director of Talent Acquisition, you will own the vision, strategy, and execution of Avathon's global hiring efforts. You will lead and develop a high-performing recruiting organization while building the systems, processes, and employer brand necessary to attract exceptional talent across technical, corporate, and leadership functions. The ideal candidate brings deep expertise in full-cycle recruiting, talent strategy, workforce planning, and employer branding. They have a proven track record of building recruiting infrastructure, improving hiring efficiency, elevating candidate experience, and partnering with business leaders to deliver talent that drives organizational success. Responsibilities • Develop and execute Avathon's global talent acquisition strategy to support rapid growth and evolving business priorities, • Build scalable recruiting programs, processes, and hiring plans that ensure timely and effective talent delivery across the organization., • Lead, mentor, and develop a high-performing global Talent Acquisition team., • Partner closely with executive leadership and hiring managers to forecast workforce needs and align hiring strategies with business objectives., • Own and optimize the end-to-end recruitment lifecycle, including sourcing, screening, interviewing, assessment, offer management, and onboarding partnership., • Maximize the effectiveness of Avathon's ATS (Greenhouse) to improve recruiter productivity, hiring visibility, and reporting capabilities., • Design and execute employer branding initiatives that strengthen Avathon's reputation as an employer of choice., • Develop programs that encourage employees to serve as brand ambassadors and referral champions., • Build proactive talent pipelines to support current hiring needs and future workforce growth., • Develop strategic sourcing strategies that attract diverse, high-quality talent across all functions and levels., • Implement structured interviewing methodologies and interviewer training programs to improve hiring consistency and decision quality., • Establish and maintain a comprehensive candidate experience program, including feedback collection, survey analysis, and continuous process improvement., • Develop and manage university recruiting partnerships and internship programs to cultivate early-career talent., • Own and maintain Avathon's job description library, ensuring consistency, accuracy, and alignment with organizational needs., • Build recruitment analytics frameworks, dashboards, and KPI reporting to measure performance, identify bottlenecks, and drive continuous improvement., • Establish long-term relationships with high-potential candidates and talent communities to support future hiring initiatives., • Champion inclusive hiring practices and initiatives that expand access to diverse candidate pools and strengthen workforce representation. Required Experience • 8+ years of progressive talent acquisition experience, including leadership of recruiting teams in high-growth technology organizations., • Proven success developing and executing strategic recruiting initiatives at scale., • Experience hiring highly technical talent, including AI, machine learning, software engineering, data science, product, and technology leadership roles., • Strong understanding of workforce planning, employer branding, talent analytics, and recruiting operations., • Experience building and optimizing recruiting processes, systems, and interview frameworks., • Demonstrated ability to leverage recruiting metrics and market data to drive business outcomes., • Expertise with Applicant Tracking Systems, preferably Greenhouse., • Exceptional communication, stakeholder management, and relationship-building skills., • Highly organized with strong project management and execution capabilities., • Passion for building inclusive, high-performance cultures and identifying talent that aligns with company values., • Strategic thinker who can balance long-term vision with hands-on execution. Why This Role Matters At Avathon, our ability to transform industries with AI starts with our ability to attract and hire extraordinary talent. As Director of Talent Acquisition, you will play a critical role in shaping the future of the company by building the teams that drive innovation, customer success, and long-term growth. You will create the recruiting infrastructure, employer brand, and talent strategy necessary to support Avathon's continued expansion while ensuring every candidate interaction reflects our culture and values. This is an opportunity to build a world-class talent acquisition function, influence company-wide growth strategy, and help define the next generation of talent that will power Avathon's mission. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. Location: Candidates must be based in the Bay Area or Austin, Texas area. Salary: The base salary range for this role is between $150,000 to $185,000 annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. What are the benefits and perks at Avathon? Our full-time employees and their loved ones will be supported with a competitive and comprehensive benefits package. Below are some highlights we offer to our U.S. full-time employees - we'd love to connect and share more! • Evolving culture with the opportunity to drive new ideas and technology, • Stock Option Grants, • Generous Time Off Programs, • Medical Coverage, and Parental Leave Plans, • Employer-Sponsored Lifestyle Spending Account, • 401k with Employer Match, • Monthly Technology Allowance, • Contract and temporary roles are not eligible for the above benefits. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

Job DescriptionAI Engineer Location: Remote (United States) Compensation: $140,000 – $200,000 base Visa Sponsorship: None available — US Citizen or Green Card holder required Experience Level: 5+ years Employment Type: Full-Time About the Company The company is an enterprise AI company based in Austin, Texas, founded in 2021. The company offers a hybrid AI platform that integrates autonomous AI agents with human expertise, allowing businesses to build, deploy, and scale custom AI solutions significantly faster and at lower cost than traditional methods. The no-code platform supports full-lifecycle AI including data integration, predictive analytics, and workflow automation. Series A with $39.5M raised, serving manufacturing, retail, and financial services customers globally. About the Role As an AI Engineer, you will design, train, and deploy machine learning models and LLM-powered systems that power an automated machine learning platform for enterprise users. You will bridge the gap between complex data science and intuitive user experiences — owning everything from RAG pipeline architecture to production deployment and API development. What You'll Own • Design, train, and optimize ML models and LLMs to solve complex predictive and generative tasks within the RapidCanvas platform, • Architect and implement robust RAG workflows — vector database management, embedding optimization, and advanced prompt engineering, • Deploy scalable AI services using containerization and orchestration tools, ensuring high availability and low-latency inference, • Build and maintain automated data ingestion and preprocessing pipelines to transform raw enterprise data into high-quality training sets and feature stores, • Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational efficiency, • Develop secure, high-performance APIs to expose AI capabilities to the frontendRequirements, • 5+ years of professional experience moving ML models into production environments, • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field, • Proven experience implementing LLMs and RAG architectures using LangChain, LlamaIndex, OpenAI APIs, or similar, • Advanced Python proficiency including FastAPI or Flask for model serving, • Hands-on experience with vector databases — Pinecone, Milvus, Weaviate, or equivalent, • MLOps experience — Docker, Kubernetes, MLflow, Airflow, or similar for full ML lifecycle management, • Cloud platform experience — AWS, GCP, or Azure, • Experience with SQL/NoSQL databases and large-scale data processing, • US Citizen or Green Card holder — no visa sponsorship availableNice to Have, • Experience with Auto-ML or No-Code/Low-Code data science platforms, • Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep learning frameworks, • Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune), • Familiarity with Spark or Dask for large-scale data processing, • Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative fieldBenefits, • Health, dental, and vision insurance, • Outcome-oriented flexibility — focus on impact over hours loggedInterview Process, • First-round team interview — technical and collaborative session, • Technical assessment — practical skills evaluation or take-home assignment, • Deep-dive interview — architecture, methodologies, and project experience, • Cultural alignment and leadership interview with key stakeholdersLogistics, • Role is fully remote within the United States, • US Citizen or Green Card holder required — no visa sponsorship or relocation assistance available Shortlisted candidates will be contacted by David Joseph & Co.

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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: $34/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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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: $34/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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Turkish, • 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionCompany Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Job Summary Mirantis is looking for a commercially driven, deeply technical Product Manager to own AI inference and model serving for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. This role sits at the intersection of AI inference, cloud-native infrastructure, distributed systems, and performance engineering. You will define how NeoClouds and Enterprise customers deploy, scale, and operate production inference services while extracting maximum performance from the underlying GPU, network, and storage infrastructure. This role owns product strategy and solution development for inference products across on-premises, cloud, and edge environments. The scope includes serverless inference, dedicated endpoints, workload placement, autoscaling, routing, lifecycle management, observability, and full-stack performance optimization. This person will define how customers run production model-serving workloads at scale while improving latency, throughput, utilization, reliability, cost, and operational control. The ideal candidate has experience with high-performance infrastructure products and understands how production systems behave under real-world load. They should be comfortable reasoning across the full stack, identifying performance bottlenecks, evaluating system design trade-offs, and translating technical insight into clear product requirements, architecture direction, and customer-facing solutions. Responsibilities • Own product strategy, roadmap, and lifecycle for inference and model serving, including serverless inference, dedicated endpoints, autoscaling, routing, KV cache management, and the related observability, • Lead deep technical discovery with NeoClouds, sovereign clouds, and enterprise platform teams, and translate findings into prioritized requirements and architecture direction, • Partner with engineering on system design trade-offs across runtime integration, GPU scheduling, network, storage, and serving topology, including disaggregated serving and multi-model serving, • Define positioning grounded in measurable outcomes: latency distributions, throughput per GPU, utilization, tail reliability, and cost per tokens, • Drive go-to-market execution: pricing and packaging, reference architectures, sizing guides, PoC playbooks, and direct engagement with customers, analysts, and ecosystem partnersQualifications, • 7+ years in product management, technical product management, or a senior technical role owning AI/ML and inference product(s), • Strong understanding of production AI inference, including model serving, serverless execution, dedicated endpoints, autoscaling, routing, workload placement, observability, and reliability, • Proven capability to reason about performance trade-offs across GPU, network, storage, orchestration, and runtime layers, and to translate low-level technical capability into business value such as TTFT, throughput per GPU, and TCO, • Working knowledge of modern inference runtimes (vLLM, SGLang, TensorRT-LLM, Dynamo, Triton) and the optimization patterns that matter in production: continuous batching, KV cache management, cold starts, prefill versus decode, disaggregated serving, and multi-model serving, • Credibility with engineering leaders and infrastructure operators, including comfort in production architecture reviews and technical commercial conversations with platform engineering buyers Why you’ll love Mirantis • Build the token factory foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises, • Collaborate with a world-class, distributed team committed to openness and technical excellence, • Shape the product narrative and influence go-to-market success Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry., • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies., • Be a part of cutting-edge, open-source innovation., • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued., • Professional development and training., • Attend conferences and working groups., • Customized workstation (macOS, Windows)., • A competitive compensation package with strong benefits plan and stock options. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. #remote We are a Leader for Container Management in G2 (#2 after AWS)!

Job DescriptionCompany Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Job Summary Mirantis is looking for a Technical Product Manager to own storage for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the storage strategy, roadmap, and feature priorities that determine how operators provision, tier, and scale storage across GPU clusters running large-scale training and inference. GPU cloud storage sits at the intersection of high-performance computing and multi-tenant cloud, and the product must hold both worlds together. You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between hot NVMe and capacity tiers, and GPUDirect Storage paths that bypass the CPU to feed accelerators at line rate. These layers are typically operated as disconnected silos, with storage admins, platform teams, and ML engineers each owning a slice. Your job is to make them a coherent, declarative product. The ideal candidate brings strong technical fluency in classical storage and the AI stack. You will work directly with engineering to shape requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals. Responsibilities • Own the vision, roadmap, and priorities for k0rdent AI storage, defining how customers design, automate, and operate every aspect of their storage stack, including parallel file systems, object storage, tiering, snapshots, data protection, and more, • Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction, • Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable storage capabilities, • Manage the storage backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning, • Define positioning, packaging, and competitive differentiation for k0rdent AI storage, • Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the storage product lead, • Represent Mirantis at events, analyst briefings, and customer advisory boards; engage storage, silicon, and ecosystem partners on reference architecture alignmentQualifications Qualifications • 5+ years in product management, technical product management, or a senior technical role owning a storage product, platform, or large-scale storage estate, • Hands-on familiarity with parallel and distributed file systems (Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA, VAST, DAOS), S3-compatible object storage, and block storage at scale, • Fluency in Linux storage, Kubernetes storage (CSI, dynamic provisioning, storage classes), software-defined storage, hyperscale or service provider storage, or storage automation, • Hands-on experience with modern GPU cluster storage, including GPUDirect Storage and RDMA data paths, NVMe-oF, hot/warm/cold tiering for training datasets and checkpoints, and high-throughput ingest pipelines Why you’ll love Mirantis • Build the networking foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises, • Collaborate with a world-class, distributed team committed to openness and technical excellence, • Shape the product narrative and influence go-to-market success Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry., • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies., • Be a part of cutting-edge, open-source innovation., • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued., • Professional development and training., • Attend conferences and working groups., • Customized workstation (macOS, Windows)., • A competitive compensation package with strong benefits plan and stock options. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. #remote We are a Leader for Container Management in G2 (#2 after AWS)!

Job Description As a Full Stack Cloud Engineer, you’ll build and modernize scalable AWS-based applications — developing backend services, APIs, and integrations while also contributing to frontend dashboards and user interfaces. One engagement you may be migrating and refactoring a legacy application into a serverless, microservices architecture using Lambda and API Gateway, the next you’re building full-stack cloud-native applications using React, Python, or Java with secure, event-driven AWS services. You’ll collaborate closely with clients and project teams to design solutions, improve architectures, and deliver modern cloud applications that are secure, scalable, and business-driven. What You’ll Do: • Assisting in the designing and building modern and highly scalable cloud-based applications for customers, • Migrating and modernizing customer legacy applications using AWS services Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs • Actively participating in team meetings and cross-functional interactions, • Keeping team members and supervisors informed of progress and issues, • Actively contributing to client project status meetings, • Contributing to R&D projects to validate/invalidate new services offerings, • Remaining current with technology trends and new technologies, • Proposing the latest technology usage and integration standards, • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP, • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX, • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React, • Utilizing best practices for security, compliance, and business continuity in cloud solutions Required Skills • 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services, • Strong experience with infrastructure-as-code tools like CloudFormation, • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework, • Experience using AWS platforms including but not limited to Cognito and Amplify, • Understanding of modern app architectures in cloud environments, • Able to collaborate with cloud engineer and project management teams Preferred • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates, • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications., • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc., • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc., • Experience using AWS command line tools and SDKs to manage infrastructure as code, • Building, deploying, managing microservices applications on AWS, • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS, • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud, • Experience with CI/CD pipelines and automated testing, • Building event-driven architectures on cloud platform, • Using infrastructure as code tools like CloudFormation, • Frontend JavaScript frameworks like React, • Machine learning capabilities like SageMaker, • Leveraging serverless architectures where applicableThe salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. 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 DescriptionCompany Description Renesas Electronics, a leading global semiconductor company, is rapidly scaling its AI-focused power delivery business. Products include high-performance digital power VRMs, multiphase controllers, Smart Power Stages (SPS), Vertical Power Stages (SPS with integrated capacitors and multiple silicon die), Power Towers (power modules integrating multiple SPS-equivalents with capacitors and inductors), and power MOSFETs. Job Description Performance Computing Power seeks an experienced Automation Architect developing AI-enabled workflows to shorten customer product validation/performance optimization of Renesas Power Solutions for the datacenter. In addition, you will be responsible for improving engineering efficiency using AI tools and influencing internal processes to maximize productivity. You will engage cross functionally with a diverse team including design, firmware, software, product and applications engineering teams to solve complex problems and shorten development time. Responsibilities • Develop tools for automated tuning of VR rails in high power CPUs/GPUs using Renesas Power Solutions., • Use of AI based productivity enhancing tools to shorten development time and automate validation., • Accelerate debug through analyzing failure signatures using machine learning and root cause issues., • Build automated infrastructure for system performance optimization., • Support design, FW, and SW teams during execution with AI tool flows for efficiency improvements., • Write collateral to enable use of tools. Qualifications, • 15+ years of multi-disciplinary experience in semiconductor industry, • Understanding of power architecture and product types related to multiphase high-power DC-DC power solutions, • Experience with automation of hardware to improve validation efficiency, • Experience with developing AI assisted tools, • Experience with embedded SoC’s including cross-functional collaboration with HW/FW/SW teams, • Excellent technical and executive communication skills. Education • Bachelor's degree required; master’s degree in engineering preferred Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things., • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure., • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

Job Description About Wildpack Wildpack is a rapidly growing and established co-packaging and co-manufacturer with multi-site facilities for both non-alcoholic and alcoholic beverages. Wildpack produces and packages ready-to-drink beverages for a variety of brand owners in the retail CPG space. The company specializes in aluminum can beverage sleeving, filling, and third-party logistics. We are looking for someone who is a natural leader and is committed to delivering high quality service with high-performance results. We are looking for you to take charge of projects and to confidently navigate competing deadlines in a fast-paced environment. Bring an entrepreneurial spirit and come grow your career in a fun, inclusive, and established business that is supportive with lots of opportunity for advancement. The Company recently went public on the Canadian Toronto Stock Exchange Venture, bringing massive opportunities to its employees for career progression and a variety of learning opportunities. Wildpack has continued to expand its team and clientele base year-after-year and expects to continue its growth through training, developing, and opening opportunities to its team through career advancement. About this role Wildpack Beverages is looking for a Maintenance Manager who oversees the maintenance department. This position provides technical knowledge for automation, controls, instruments, and electronic diagnostics, working independently and managing maintenance personnel to perform preventative and predictive maintenance tasks. Technical skill sets include understanding and interpreting process drawings (P&ID), programmable logic controller’s (PLC) programs, with an emphasis on Allen Bradley based systems, knowledge of machine I/O, troubleshooting PLCs, motor control systems and control networks within the brewery. There is an expectation to establish proper preventative and proactive maintenance strategies utilizing a CMMS and grow the skills and knowledge of the Maintenance team. A day in the life: What you do • Continuously improving manufacturing processes in terms of quality and performance measurements and identifying and eliminating bottleneck areas., • Ensure that systems are in place & followed to maintain reliability of the equipment & processes., • Identify and solve safety concerns encountered during design and study of manufacturing processes, • Devise hands on improvement processes to reduce scrap and defects while improving throughput and document SOPs and the implementation of Best Practices into the facility., • Coordinate the installation of new equipment to maximize production efficiency and maintainability., • Work with production to make modifications to equipment and work areas for maximum efficiency of operation, • Maintain a knowledge base in the capacity of existing utilities and the current level of utilization., • Stay abreast of the latest safety, environmental and other regulations which affect the facility to ensure compliance., • Oversee the maintenance of the equipment and the facility to ensure the company receives maximum utilization of its assets., • Oversee spare parts inventory to ensure critical spare part inventory is maintained., • Inspect machines and equipment for hazards, operating efficiency, malfunctions, wear, and leaks., • Troubleshoot, electrical components such as motors, motor starters, fuses, disconnects, instrumentation, relays, switches, position sensors and printed circuit boards., • Maintains ownership and accountability in daily operations and plant results., • Evaluates and recommends improvements to product manufacturability., • Responsible to adhere to food quality and food safety as per Wildpack quality standards., • Ensure compliance with OHSA and environmental regulatory and corporate standards., • Investigate and identify root causes of any non-compliance., • Accountable for a safe working environment through the development of strategies focused on accident reduction as well as energy and waste minimization., • Assist maintenance personnel with other repairs and PM’s when needed., • Oversee the development of the maintenance team Qualifications: What you know • 5+ years of experience managing a maintenance department. Previous experience in a food or beverage manufacturing facility is highly preferred, especially with filling and packaging equipment, • BS in engineering or technical college in a related field preferred, • Experience with conducting root cause analysis, utilization of predictive tools such as oil analysis, vibration analysis, ultrasonic & infrared analysis, • Experience with managing a CMMS (computerized maintenance management system)., • Areas of expertise should include some /all the following: electrical, pneumatic, mechanical, plumbing and computer skills, • Technical and analytical knowledge around manufacturing processes., • A high competence and background in electrical systems required, along with broad knowledge of industrial electrical systems and power distribution., • Automation (STL and ladder logic) and CAD knowledge preferred., • Strong interpersonal and communication skills, and a track record of growing a team required. Physical Requirements and Environmental Conditions • Able to lift 50-60 lbs., must regularly lift and/or move up to 10 lbs. throughout shift, • Able to climb ladders up to 20 feet., • Able to operate a forklift, scissor lift, and boom lift., • Able to work in an environment with high noise levels., • Able to bend at the knees to lift objects and kneel, along with the ability to crouch, and able to work in tight/cramped spaces and/or in awkward positions for extended periods of time., • Able to frequently duck under conveyors/equipment., • Able to climb stairs multiple times during a shift., • Able to wear the required Personal Protective Equipment., • Close and distant vision, peripheral vision, depth perception, the ability to adjust focus and the ability to see color, either with or without accommodation., • The ability to work in loud, wet, cold, hot, indoor, and outdoor environments frequently., • Able to work with and use potentially hazardous chemicals, using safety guidelines and PPE. Your Benefits: We invest in our people, support their growth through mentorship, professional development, and education opportunities. We strive to offer a work-life balance, creating a culture that is people-focused and fun. Here are some of the benefits you can expect as part of our team: • Salary based on experience, • Medical, Dental and Vision Insurance, • Paid Time Off We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Texas Sports Academy is seeking a talented and passionate Full-Stack Developer (AI-Augmented) to join our innovative tech team. As a leader in the sports training industry, we leverage cutting-edge technology to enhance athletic performance, offering customizable solutions for athletes and coaches. In this role, you will be responsible for the design, development, and maintenance of our comprehensive web applications that integrate advanced AI technologies. Your expertise will help us to improve user experience, implement robust features, and ensure seamless performance across platforms. You will collaborate closely with cross-functional teams, including data scientists and UX/UI designers, to transform concepts into powerful software solutions that meet our clients' needs. The ideal candidate will have a strong passion for sports technology and a commitment to leveraging AI to revolutionize the way athletes train. With a dynamic work environment and projects that push the boundaries of sports performance, you will have the opportunity to contribute significantly to the future of athletics and play a vital role in shaping how technology integrates with sports. Responsibilities • Design and develop scalable web applications utilizing various technologies across the stack., • Integrate AI algorithms and models to enhance user engagement and performance metrics., • Collaborate with data scientists and designers to conceptualize features that meet user needs., • Maintain and improve existing software applications to ensure optimal functionality and user experience., • Conduct regular code reviews and provide constructive feedback to team members., • Develop and implement testing strategies to ensure software reliability and performance., • Document processes, specifications, and code to ensure team alignment and knowledge sharing. Requirements • Bachelor's degree in Computer Science, Software Engineering, or a related field., • Proven experience as a Full-Stack Developer with a deep understanding of front-end and back-end technologies., • Strong proficiency in programming languages such as JavaScript, Python, or Java., • Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., Node.js, Django, Flask)., • Familiarity with AI technologies and machine learning concepts., • Excellent problem-solving skills and the ability to work collaboratively in a team environment., • Strong communication skills and the ability to convey technical information effectively.

Job Description At TerraFirma, we’re redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer. Our Story & Mission At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything. At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have. From a first-principles perspective, that doesn't make sense. It shouldn't be this hard or costly to create the foundations for progress. That’s when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds. Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity’s toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible. Job Overview In this role, you’ll take hands-on ownership of various systems spanning hardware and software, and analog and digital domains. Initially, you'll lead the development of a new DSP system from concept to functional prototype, owning the full hardware and software stack. Daily tasks will include designing and testing RF frontends, analyzing digital signals, running field tests, and creating algorithms to detect patterns and synthesize sensor data for extracting meaningful features from RF and EM interactions with the environment. Alongside building custom hardware, you’ll oversee validation and testing campaigns as needed. Responsibilities Own the system architecture for an electromagnetic sensing application from concept through first prototype Design and validate new sensor hardware. Must be comfortable with RF circuit and antenna concepts and ready to dive into real-time FPGA processing Develop, test, and deploy algorithms in realms of sensor fusion, image processing, and object detection in Python/R/C++. Be ready to explore reinforced learning for a higher degree of confidence Work with interdisciplinary teams to design, test, and deliver custom hardware and software solutions Take on leadership roles when required, mentor new employees, and actively participate in the hiring process Basic Qualifications B.S. in Electrical Engineering, Computer Engineering, or a closely related field 2+ years of professional or project experience with RF, DSP, or electrical engineering with hands-on hardware development and prototyping Proficiency in fundamentals of signals analysis and electrical engineering Demonstrated experience owning large-scale deliverables, leading teams, and driving product roadmaps Preferred Skills & Experience Strong background in digital and image signal processing, machine learning, and efficient manipulation of large datasets for high-throughput analysis Experience designing or testing radar systems including antennas/frontends targeting the VHF and UHF bands Experience with FPGAs, including hardware design, HDL programming, and common low-level and embedded protocols Experience prototyping with SDR and open source tools like GNU Radio PCB design experience for rapid prototyping, including schematic capture and layout Familiarity with C/C++, Python/R, and Linux systems Solid understanding of antenna design and analysis Experience designing and running test campaigns for qualification/acceptance for custom hardware Experience with component selection and integration for SoCs, FPGAs, MCUs, and custom ICs Additional Requirements Must be willing to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues Comfortable with working in a fast-paced startup environment Must be willing to relocate to Austin, TX if not within commuting distance Compensation & Benefits Base compensation will vary based on factors such as relevant experience and education. Salaries and leveling will be determined on a case-by-case basis if an offer is extended. Our total compensation package also includes equity in TerraFirma. Relocation packages are available to help cover moving costs, if applicable.

Job Description Data Science EngineerJob Details • Data Science Engineer (Contract), • Location: Austin TX, 78758 (Hybrid), • Duration: 11/17/2025 to 11/13/2026, • Team: Fraud ADUS Key Responsibilities:, • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification., • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes., • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders. Required Skills & Qualifications:, • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field., • Advanced degrees are a plus., • 5 years of experience in data science and machine learning., • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks., • Hands-on experience with AI agents and LLMs - Preferred., • Showcase a successful history of leading impactful data science initiatives., • Exhibit strong communication and teamwork abilities., • This role is not suitable for entry-level candidates or interns. Compensation:, • $65.00 to $69.72 per hour.#36557742

Job Description We are seeking a Machine Learning Engineer to help design and evolve enterprise AI systems and architectures that enable scalable, secure, and high-impact AI adoption across the organization. This role focuses on defining end-to-end AI solution patterns involving LLMs, APIs, Retrieval-Augmented Generation (RAG), vector search, intelligent agents, orchestration workflows, Snowflake, cloud platforms (AWS and Azure), and enterprise data integration. The position partners closely with engineering, data, operations, business applications, security, and governance teams to develop reusable frameworks that accelerate AI delivery while supporting security, compliance, and operational requirements. This position may require occasional travel for collaboration and planning activities. Responsibilities Design enterprise AI solution architectures that align business needs with scalable implementation approaches. Collaborate with cross-functional teams to translate business challenges into practical technical solutions. Identify and address gaps related to scalability, data readiness, interoperability, and operational adoption. Develop reusable frameworks, standards, and patterns that improve consistency across AI initiatives. Evaluate solution options and communicate trade-offs involving performance, cost, risk, and business value. Guide architecture decisions that support responsible AI adoption and long-term maintainability. Promote best practices, governance standards, and scalable implementation approaches across teams. Stay current on emerging AI technologies and assess their applicability to business objectives. Qualifications 5–8 years of relevant experience in engineering, architecture, data, or enterprise technology roles. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Experience designing or supporting enterprise AI solutions involving Generative AI, LLMs, RAG, intelligent agents, or related technologies. Strong understanding of enterprise architecture principles, system design, integration patterns, and scalable delivery models. Experience working with cloud platforms such as AWS and/or Azure. Experience collaborating with both technical and business stakeholders to solve complex organizational challenges. Ability to evaluate ambiguous problems, structure recommendations, and clearly communicate trade-offs. Strong judgment balancing innovation, security, governance, operational feasibility, and business value. Excellent collaboration and communication skills with the ability to influence across teams. Familiarity with risk management, governance, compliance, and enterprise control environments. Additional Information Hybrid opportunity located in Austin, TX Applicants must be authorized to work in the U.S. without sponsorship Competitive compensation, benefits, flexible time off, and career development opportunities

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Company Background: Ownwell has developed a leading end-to-end property tax solution that is purpose-built for SFR and CRE investors, operators, and property managers. We have brought Data Science and Machine Learning to a space that is ripe for disruption. We combine a best-in-class technology stack with local market expertise to reduce expenses, increase Net Operating Income, and drive operational efficiency for both our institutional clients and individual homeowners. Ownwell's solution ensures you have the necessary tools, resources, and information to confidently manage your property taxes. Ownwell has been recognized both in Austin and Nationally, as a top workplace by the likes of Fortune, BuiltIn, Inc, and Best Places To Work. We are well-funded and venture-backed by some of the best investors in the world such as First Round Capital and Bessemer Venture Partners. Our customer base has grown by more than 300% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We've brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data Scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do • Customer Obsession, • Take Ownership, • Do The Right Thing, • Go Far Together, • Accelerate Innovation The Role Ownwell has grown rapidly across multiple product lines and geographies. As we've scaled, we need a dedicated owner for revenue recovery — someone to build the systems, processes, and customer touchpoints that ensure we collect on the value we're delivering. We're looking for a Revenue Recovery Lead to focus 100% of their effort on collecting and ensuring timely revenue recovery. You'll inherit a playbook but come in and rewrite it, iterate, and improve it. You'll design the systems, talk to customers, evaluate tools, and define what "great" looks like. This role reports directly to the CEO. It's high-visibility, high-autonomy, and high-impact. We're not looking for someone who's done collections the same way for 15 years. We're looking for an operator and builder who can learn collections fast, use modern tools (including AI) creatively, and treat every customer conversation as a chance to strengthen the relationship — not damage it. What You'll Do Build the foundation (first 90 days) Stand up AR aging visibility from our current dashboards, reporting, and segmentation by product line and delinquency stage. Design and implement automated outreach workflows that respect the nuances of how and when our customers are billed. Evaluate and establish vendor relationships for late-stage recovery. Document dispute resolution processes and SLAs. Own the motion (ongoing) Talk to customers directly. Understand why people aren't paying, what's confusing, and what's broken in the experience — then feed that signal back to product and CX. Use AI tools aggressively to automate outreach, classify disputes vs. true delinquency, and reduce manual work. Build the measurement infrastructure: DSO, bad debt rates, recovery rates by channel and cohort. Own the compliance layer and make sure our approach is airtight. Develop the escalation framework from first reminder to write-off — these thresholds don't exist yet, and you'll create them. Who You Are A builder, not a maintainer. You've stood up a process, system, or function where one didn't exist before — collections, ops, RevOps, customer success, or something adjacent. You know the difference between building the plane while flying it and waiting for the blueprint. An operator who executes with speed and creativity. You're the person whose previous managers had to slow down, not speed up. You move fast, iterate, and don't wait for permission. AI-fluent and tool-curious. You actively use AI in your work today — not as a novelty, but as a core part of how you get more done. You're excited by the idea of automating an entire outreach sequence before lunch and spending the afternoon on the edge cases AI can't handle. A great communicator who genuinely likes talking to people. A meaningful part of this role is engaging with customers who owe us money but also benefited from our services. That's a nuanced conversation. You handle it with empathy, clarity, and firmness. Comfortable with ambiguity. The playbook doesn't exist. The reporting doesn't exist. Some of the tooling doesn't exist. That excites you more than it scares you. Analytically strong. You're fluent in spreadsheets, comfortable in SQL or willing to learn it, and you make decisions with data. Where You Might Come From No single background is a perfect match for this role. But you'll ramp fastest if you've worked in one or more of these worlds: consumer tax resolution, personal injury or contingency-fee law firm operations, healthcare revenue cycle management, consumer lending or fintech, or high-growth startup operations where you were the "figure it out" person. Collections-specific experience is a plus, not a requirement. We'd rather hire someone brilliant who learns collections in 90 days than someone who's been doing it the same way for a decade. What Makes This Role Different You're not collecting for a product people resent. Our customers already received value from us. The conversation starts from a fundamentally different place than traditional collections. You report to the CEO. This isn't buried in finance. It's a strategic priority with direct executive support and authority. You get to build. No existing team, no inherited process, no legacy system. Blank canvas with real resources. AI is a first-class tool here. We expect you to use it and will give you the tools and budget to do so. Ownwell offerings • Entrepreneurial culture. Own your career; we are here to support you in the journey., • Access to First Round Network to build your community outside of Ownwell., • Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We close the company operations for the last week of the year to help the team recharge and reset., • Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage., • Learning support through a $1,000 stipend per year to enable investing in your individual learning needs., • Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent., • Equity participation. Bring a founder's mindset to grow and scale us., • Complimentary real estate and tax consulting licensing and renewal Ownwell's vision is to democratize access to real estate expertise. When we say we want to provide access, we mean providing access to everyone. To do that well, we need a team that's broadly representative. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Ownwell is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other status.

Job DescriptionEverlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens. Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2025, an estimated 1 in 94 U.S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in the country. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized. Everlywell operates large-scale health engagement programs that help health plan members complete important care actions — from returning diagnostic kits to accessing preventive and virtual care. We’re hiring an Applied Scientist to build and measure the ML systems that power these programs. This role is focused on machine learning, experimentation, and production measurement. You’ll train models, evaluate performance, design A/B tests, and work with engineering and business stakeholders to improve real-world outcomes. This is a high-impact opportunity to apply ML and experimentation skills to systems that influence real member outcomes at scale. You’ll work on practical, production-facing problems with clear business value, strong cross-functional visibility, and room to help shape how Everlywell uses both ML and AI in operational workflows.If you’re excited by hands-on modeling, rigorous experimentation, and building systems that improve decisions in the real world, we’d love to hear from you. Responsibilities • Build and improve ML models used in engagement and operational workflows, • Develop models for prediction, prioritization, uplift, and related decisioning use cases, • Define and monitor model performance, business impact, and system health, • Design and analyze A/B tests and other measurement approaches to evaluate incremental impact, • Partner with stakeholders to define success metrics and turn findings into decisions, • Support production rollout and ongoing monitoring with engineering teams, • Help evaluate AI- and LLM-powered workflows used in production settings Skills & Abilities Required:, • 5+ years in Applied Science, Data Science, ML, Decision Science, or similar roles, • Strong hands-on experience training, evaluating, and improving ML models, • Strong experience designing and analyzing A/B tests, • Strong Python and SQL skills, • Experience measuring model, program, or product performance in production, • Ability to work cross-functionally and communicate clearly with stakeholders, • PreferredExperience in experimentation platforms, growth or lifecycle modeling, or ML-driven decision systems, • Experience with causal inference or uplift modeling, • Experience with LLMs, AI agents, or automated workflows in production, • Experience in healthcare or regulated environments, • Snowflake, Python, dbt, Airflow, model registry systems, GitLabSecurity Notice: Everlywell never requests fees, payment, or banking information at any stage of the recruitment process. Official communications and interview invitations will only come from verified email addresses ending in @everlywell.com or @everlyhealth.com. To ensure your application is secure, always apply directly through our official careers page at https://www.everlywell.com/careers/. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Position Purpose/Summary The purpose of this position is to bridge the worlds of design, data, and automation. This role will focus on process innovation, AI integration, and information management; helping our design and planning teams move toward a future where model data and user interactions are seamlessly connected. The Design Technology Lead will play a pivotal role in leading the internal development of tools, workflows, and automation strategies that enhance creativity, efficiency, and collaboration across disciplines. Accountabilities Process Automation & Data Management Evaluate and integrate emerging technologies Essential Duties and Responsibilities • Process Automation & Data Management, • Develop and deploy C# scripts, Dynamo routines, and automation workflows that enhance design productivity., • Create data pipelines that can receive and process information from web-based applications., • Collaborate on incorporating AI into design workflows (CustomGPT tools, diffusion modeling, API-based assistants)., • Build and test AI agents that assist with process automation and intelligent data exchange., • Measurables:, • Successful outcomes where workflows become more connected, automated, and intelligent., • Increased design efficiencies where data moves freely between models, tools, and user interfaces., • Evaluate and integrate emerging technologies, • Collaborate in the evaluation and integration of approved emerging technologies, as directed, into BSA’s design process., • Partner with IT and project teams to ensure smooth deployment and adoption of new tools., • Work closely with Design and Planning leadership to align technology development with design vision., • Serve as a bridge between architecture, MEPT, interiors, planning, and software development partners to create unified data environments., • Measurables:, • Successful technology rollout where AI becomes an embedded, everyday part of the design process, not a separate experiment. Secondary Duties and Responsibilities • Mentoring and/or sharing knowledge with others in the firm., • Promote company reputation through good client relations and branded materials., • May be required to perform other duties as assigned. Critical Skills and Abilities • Strategic Thinking: Develops strategies to achieve organizational goals. Strategic mindset with the ability to connect technology solutions to design intent., • Effective communication skills: Strong communication skills via verbal communication, written communication, graphics and through active listening. Ability to read and interpret information necessary to translate to others in a concise manner. Collaborative communicator comfortable leading cross-disciplinary conversations., • Critical thinking skills: Able to see issues in their broadest perspective and offer in-depth analysis, engage in discussions, and utilize dynamic problem-solving skills., • Strong analytical skills: Able to gather relevant data using appropriate methodologies and analyze that data to assist in making important business decisions., • Ownership Mentality: Possesses a sense of ownership in all deliverables. Utilizes knowledge and opportunity to continually strive for excellence within an empowering culture. Collaborates and supports fellow employee-owners in ongoing improvements. Understands personal accountability within their role in the company., • Computer skills required: Microsoft Windows environment, Microsoft Office: Word, PowerPoint, Excel, • Strong proficiency in C#, Revit API, and data management workflows., • Familiarity with Python, JavaScript, or API integrations is a plus. Education/Experience Requirements • Bachelor’s degree preferred., • Minimum three years of experience and proven experience with automation, parametric design, or AI-driven workflows., • Work within the A/E/C industry preferred., • Evidence-Based Design Accreditation and Certification preferred. Job Complexity Work requires substantial judgment and original thinking and creativity; develops innovative approaches and ideas and must be able to present and sell ideas and information in a positive, clear and concise manner. Supervisory Responsibilities This position does not observe and advise other positions. Working Environment and Conditions This position occupies a general office environment. Exposure to weather elements is likely during site visits. Incumbents will drive a vehicle while performing their job responsibilities. Incumbents spend approximately 40% sitting, 30% standing, and 30% walking while performing their job responsibilities and are unlikely to handle materials weighing more than 10 pounds without mechanical assistance. Incumbents will use the following office equipment while performing their duties: phone, computer, copier, fax machine. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. The duties and responsibilities listed above are intended to describe the general content of and requirements for the performance of this position. It is not constructed as an exhaustive list of duties, responsibilities, or requirements. Why BSA? At BSA, we empower our team members to make a meaningful impact. As a 100% employee-owned firm recently recognized by Zweig Group as one of the 2025 Best Firms To Work For and a Top 25 Hot Firm, you'll have a direct financial stake in our growth and success while benefiting from a collaborative and innovative environment. Join us and be part of a team dedicated to creating spaces that support healing, learning, and discovery. Exceptional Benefits: We offer a comprehensive benefits package including: • Medical, dental, and vision coverage, • Flexible Time Off (FTO), • Parental leave, • Hybrid work schedule, • Paid volunteer time and a giving back Program, • Employer-matched retirement funds and Employee Stock Ownership Plan (ESOP), • Modern, collaborative work environment with free parking at all studios Why You’ll Thrive at BSA: Our core values define us: • Partners: Our employee-owners value team success as well as individual success., • Purposeful: Our experts are solution oriented, creating inspired solutions in healing, learning, and discovery environments., • Learners: We are constantly striving for expertise and sharing knowledge., • Owners: We are committed to a culture of empowerment; thinking and acting like employee-owners to ensure the success of our clients and our business., • Ideal Team Players: We are humble, hungry, and smart. If these values resonate with you, we encourage you to apply and take the next step in your career with BSA! BSA is an equal opportunity employer.

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Come to work each day with an inclusive and collaborative Business Technology team! As a Security Engineer – Cybersecurity Posture, Hygiene & AI Enablement in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. As a member of the Information Security Risk Management (ISRM) Architecture team, the Security Engineer plays a crucial role in shaping and guiding the organization’s security strategy, architecture, and practices, with a focus on security posture, hygiene, and the responsible use of AI to enhance security outcomes. Responsibilities Design, develop, and implement security controls and solutions that enhance AbbVie’s security hygiene. Ensure that security measures are effectively integrated into IT systems and applications Collaborate with IT, network, and other relevant departments to align security measures with organizational goals and compliance requirements Partner with platform and application teams to establish clear security baseline requirements, following the Center for Internet Security Critical Security Controls (CIS 18). This partnership ensures that security best practices are integrated into development and deployment processes Utilize existing enterprise tools dedicated to vulnerability management, asset inventory, and cyber hygiene to ensure that all assets meet established security baseline requirements Develop custom integrations using APIs or other scripting tools for high-risk applications to enable proactive monitoring of critical security controls Demonstrate a foundational understanding of how artificial intelligence (AI) and machine learning technologies work, including their strengths, limitations, and common enterprise use cases, particularly as they relate to cybersecurity Leverage AI-enabled tools and capabilities to improve security posture and hygiene outcomes, such as enhancing visibility, identifying configuration drift, prioritizing risk, or accelerating analysis and decision-making Lead posture and hygiene efforts to effectively drive and complete initiatives successfully. This includes coordinating stakeholders, setting clear objectives, and maintaining sustained focus on improving the organization’s security posture Manage documentation such as baselines, Standard Operating Procedures (SOPs), policies, and work instructions in accordance with AbbVie requirements, ensuring accuracy, currency, and alignment with organizational standards Qualifications Bachelor’s degree in a relevant field and at least 5 years of relevant experience OR Master’s degree in a relevant field and at least 4 years of experience Possess a strong understanding of the Center for Internet Security Critical Security Controls, specifically the CIS 18 framework Strong working knowledge in configuring common operating systems, including Windows Servers, Windows Desktops, and Red Hat Linux, among others Proficient in scripting languages, including Python, Bash, and/or PowerShell Excellent written and oral communication skills Strong problem-solving and analytical skills, with the ability to identify security risks and propose effective solutions Strong people skills, with the ability to collaborate effectively with IT stakeholders inside and outside of the organization Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including Code of Conduct, safety, GxP compliance, data security, and the software development lifecycle Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

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 speaker from an EU10 country, the UK, Canada, or Australia 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 a Data Quality Lead to oversee teams of Data Quality Analysts supporting AI model evaluation and improvement. This role is equal parts people leadership, quality ownership, and operational thinking. You’ll be responsible for guiding teams through fast-changing work, ensuring high-quality output, and acting as a bridge between analysts and stakeholders. This is not just about managing throughput — it’s about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. Project Details • Job Title: Data Quality Lead, • 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, • Pay rate: $43.50/ 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 • Lead and support a team of Data Quality Analysts, • Oversee overall operational performance across workflows and teams, • Ensure team activities align with broader business objectives and program goals, • Drive the success of key initiatives across quality, delivery, and team performance, • Own quality across workflows — including audits, calibrations, and feedback loops, • Identify trends, risks, and gaps in model performance and data quality, • Translate ambiguous or evolving guidelines into clear team direction, • Run calibrations and ensure consistency across reviewers, • Partner with stakeholders to align on quality standards and expectations, • Prioritize and support hiring of linguists and specialized talent as needed, • Drive continuous improvement across processes, tooling, and evaluation methods, • Step into edge cases and complex decisions when needed, • Support team growth, coaching, and performance managementWhat We’re Looking For, • 5–8 years of experience in data quality, QA, AI/ML operations, or related fields, • 2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale, • Native-level English proficiency and a university degree (Bachelor’s or higher)., • Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese., • Strong operational mindset with experience managing performance across multiple workstreams, • Proven ability to drive quality, delivery, and process improvements, • Strong judgment and ability to operate in ambiguity, • Comfortable interacting with stakeholders and representing the team, • Ability to balance quality, speed, and evolving priorities, • Strong communication and organizational skills, • Deep attention to detail, with the ability to zoom out and see patterns, • Interest in AI and how human feedback shapes model behavior Role Scope & Accountability This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement. You’ll be expected to think beyond day-to-day execution and focus on long-term outcomes, ensuring the team consistently meets targets across quality, delivery, and overall program performance. 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.), • 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 You’ll be at the center of how AI systems are evaluated in the real world — helping define quality, guide teams, and influence how models improve over time. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Technical Product Manager for AI Security Products Remote [within the US] ABOUT THE ROLE: HiddenLayer is entering an exciting new chapter in our company history and we are seeking a Technical Product Manager for our AI Security products to drive the development of a groundbreaking cybersecurity platform to secure and protect against adversarial AI attacks. In this role, you'll have the opportunity to work with industry pioneers in data science and artificial intelligence threat research in a fast-paced emerging market. As a Product Manager with a strong background in cybersecurity and AI, you will play a crucial role in the development, enhancement, and delivery of HiddenLayer's AISec Platform to protect and defend generative AI and agentic systems against cybersecurity threats and attacks. WHO WE ARE: HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up. WHAT YOU'LL DO: You will be responsible for translating customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively guide cross-functional teams, bridging the gap between sales engineering, product development, data science, threat research, and professional services. • Product Roadmap Planning: Manage, maintain, and prioritize HiddenLayer's backlog of product and feature ideas, • Product Execution: Collaborate with internal stakeholders (engineering, data science, and threat research) to define requirements and deliver high-quality product capabilities and user experience, • Adversarial AI Threat Landscape: Maintaining vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer's products, • Market Analysis: Conduct comprehensive market research and competitive analysis to identify emerging trends, opportunities, and potential threats in the machine learning and cybersecurity landscape, • Customer Insights: Engage with customers and gather feedback to understand their pain points, requirements, and preferences to drive product improvements., • Requirements Definition: Clearly define product requirements, use cases, and specifications, collaborating with engineering, data science, and threat research teams to ensure the feasibility and effectiveness of solutions Go-to-Market Launches: Coordinate product launches and develop effective go-to-market strategies, collaborating with marketing, sales, and support teams to drive product adoption and success in the market. WHO YOU ARE: • Candidates could be:, • Technical Product Managers in data science or machine learning operations who seek to delve into cybersecurity, • Technical Product Managers in cybersecurity who have data science or AI operations experience, • Former Data Scientists, AI Engineers, or developers who want to make a career pivot into product management, • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field., • In-depth knowledge of AI techniques, algorithms, frameworks, and AI Operation tools., • Strong understanding of cybersecurity principles, best practices, and industry standards., • Experience working with cross-functional teams, including engineering, data science, threat research, marketing, sales, and support., • Proficient in Agile product development methodologies and project management tools., • Excellent communication, presentation, and interpersonal skills., • Ability to analyze complex technical challenges and propose effective solutions., • Prior experience in developing and/or launching successful machine learning and/or cybersecurity products is a plus., • Flexible and adaptable self-starter with strong relationship building skills, • Collaborative and team oriented attitude, • Intellectual curiosity, humility, accountability, and positive approach WHY HIDDENLAYER? We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including: • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses., • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings., • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays., • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events., • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer. To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter. HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Job Description Company Introduction: Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands. As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors. Airspace has been rated one of America's best Startup Employers, listed as one of CNBC's Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. Overview Primary Focus: To set up all new orders containing the most time-sensitive commodities for success, provide proactive updates to customers on any deviations and track order status progression from start to finish. These job requirements were carefully crafted in order to provide you with the basic building blocks of the Airspace Operations team and pave the way for a continued path forward as you grow within this company. Importance of role The operations team is the backbone of our company and by working on the front lines you represent, first-hand, everything that we stand for. Not only will you be in direct communication with our customers, commanders and agent service providers, with extreme attention to detail, having the ability to catch something so small can ultimately be the difference maker in being able to save a human life! Responsibilities Operating the Airspace Platform • Set up new orders by adhering to both standard work practices and client-specific SOP instructions., • The ability to rapidly move from one critical task to another., • Accurately confirm job milestones are completed correctly and on time., • Ability to navigate and interpret Airline booking and tracking websites., • Following all process and communication standards within multiple platforms., • Ability to stay independently informed by reviewing all communications provided throughout the company platforms. Proactive Customer Updates • Ability to professionally relay delays, issues, and updates with customers through verbal and written communication., • With the customer's best interest in mind, always looking ahead (weather conditions, traffic, etc.) and offering an alternative solution in order to meet or beat their required delivery times., • Escalate issues early and appropriately. Intuitive Problem Solving • Ability to update, manage, and/or change airway bills using initial or tenured training., • Ability to source driver coverage for any segment of an order., • Ability to use situational awareness to request or deny additional driver incentives when necessary., • Ability to apply training and tenured knowledge to find out of the box solutions to common or uncommon issues., • Follow escalation procedures and guidance provided by senior team members to assist in issue resolution., • Demonstrate understanding and urgency of milestone updates, delays, QPT/QDT, etc. Handling All Inbound and Outbound Communications • Timely acknowledgment and action of all email, phone and text requests., • Expected to consistently meet all minimum metric expectations for phone availability and acceptance., • Proper use of the various phone statuses., • Adherence to All Hands on Deck and Off-Phones Requests guidelines., • Order placement for customers who are unable to place orders via the online portal., • Ability to identify and resolve issues surfaced through inbound phone calls, text messages, and email., • Cross sector phone call resolution. Maintaining Balanced Level of Performance As an OSI, you will be expected to meet minimum metric requirements and customer service standards for an entry level position. Expectations will increase with each advancement. All expectations will be communicated to you through your direct reporting supervisor. Compensation & Benefits • Hourly Range: $20-22/hr, • High-quality health, vision, and dental care plan options, • 401K company contribution program, • Professional learning and training reimbursements Core Values: • We are One Team. We believe we all accomplish more when we are working together., • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world., • We are Passionate. We care deeply about our mission and are not afraid to raise the bar., • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers., • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves.About Airspace: From life-saving organs to essential machinery components, Airspace is trusted by the world's largest companies and most critical healthcare organizations to move their most time-sensitive shipments on time, every time. Our proprietary AI-powered platform is the most advanced of its kind- awarded and protected by multiple patents, it provides speed, reliability, and transparency unrivaled in time-critical logistics. We are thinkers, builders, and doers; from building and deploying AI in the world to assembling a world-class operations team, Airspace is on a hypergrowth trajectory while remaining hyper-focused on the needs of our customers and team members. With offices in the United States in Carlsbad, CA and in Europe in Amsterdam, Frankfurt, Stockholm, and London, we are rapidly scaling into new markets and industries while continuing to innovate and maximize value for our customers. Backed by leading investors including Telstra, HarbourVest, Prologis, Qualcomm, Defy, and others, Airspace has raised $140M to date. Join our team of 300+ technologists, futurists, and industry veterans as we work as One Team to revolutionize time-critical logistics. Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations. For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.

Job Description Position Title: AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with travel required. About Cloudelligent Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. Job Objective As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies. Responsibilities • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency., • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation., • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies., • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization., • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications., • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance., • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set., • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making., • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments., • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.Requirements, • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture., • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads., • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI., • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs., • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures., • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management., • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance., • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.Highly Preferred, • AWS Certified Machine Learning – Specialty, • AWS Certified Solutions Architect – Associate or Professional Powered by JazzHR 0mr8ofHs4p

Job Description Fathoms is a defense technology company building Brilliant Machines™. We believe that our in-person work environment is a cornerstone of our success, and have teams in Austin, Texas; Cody, Wyoming; and Washington, D.C. We are looking for a curious, creative, and mission-driven Lead Design Engineer with a technical foundation who is naturally fascinated by the challenges and detail work in enabling industrial automation. This role requires a hands-on engineer able and willing to personally perform design tasks from CAD to prototype assembly to laboratory testing. This position will be instrumental in developing disruptive gearbox prototypes. The Fathom5 Lead Design Engineer will: • Assist senior engineers with CAD modeling, product prototyping, and testing, • Design, Procure, and/or print machine components including prime movers, instruments, controls, and machined/printed parts, • Support the Fathom5 engineering team in the design of novel industrial automation solutions, • Prepare and organize documentation of key product decisions and design changes, • Work with software and electrical engineering teams to integrate new technologies into our Tesar Actuators, • Translate client desires into tangible deliverables, • Test products for functionality, • Assemble hardware according to design specifications and ensure on-time delivery of Fathom5 Tesar Power Actuators, • Contribute to Company development meetings, on-cadence stand-up, and demo days, • Learn the Fathom5 product line and make product improvement recommendations, • Collaborate with team members to help merge the physical assembly, hardware integration and software integration of our product linesThe Fathom5 Lead Design Engineer position requires:, • Design knowledge – Working knowledge of machine detailing and design., • Proven Innovation – Listed Inventor on US Patent, Completed Professional or Personal custom machinery project, prior primary design authority for a novel gearbox, or experience in an R&D Engineering group., • Proficiency with design tools – Experience with Computer Aided Design (CAD) tools, • Proficiency with shop/assembly tools – Knowledge of hand and power tools used to assemble machines in a prototype shop and the ability to use those tools to deliver quality prototypes., • Clear and effective communication – Written and oral communication skills sufficient to explain and document technical findings in an articulate manner., • Quick learning – The ability and desire to quickly learn new technology., • Team-first mentality – The ability and desire to work in a team environment., • Startup Stamina – Fathom5 is changing the world at the intersection of industrial systems and advanced software. Sometimes changing the world requires long hours, standing for full days at events, and medical clearance for building and testing actuator prototypes as well as occasional travel in support of our customers. Ultimately, a successful Lead Design Engineer provides valuable support to the design team while continually improving their engineering knowledge and skills. The Fathom5 Lead Design Engineer is an intermediate position and will have these credentials: • B.S. from an accredited four-year university in Engineering (preferably Mechanical, Aerospace, or Civil), • 5-10 years of experience in an engineering environment, • Capable of executing gearbox design from operating requirements Preferred knowledge and experience:, • Design of control systems including PID feedback loops., • Specification and selection of electrical motors for actuation, • Instrumentation of actuators for data acquisition and controlAt Fathom5, we believe that a diverse, equitable and inclusive workplace makes us a more relevant and resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Fathom5 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 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 DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW The Experimental Engineering team leads the engineering R&D efforts in new and emerging products at Consumer Reports. We're seeking a highly capable Senior Research Engineer to join our team and drive forward exploratory research engineering with particular focus on innovative applications of AI, machine learning, and emerging technologies. In this role, you'll embark on ambitious early-stage engineering efforts, validate concepts through rapid prototypes, and translate timely experiments into actionable insights that guide Consumer Reports' strategic initiatives. Research engineers operate 6+ months ahead of product roadmaps. Your work will be essential to identifying opportunities and pushing our technological boundaries. This is a full-time remote opportunity, with hybrid work available for candidates local to Consumer Reports offices in New York or Washington, D.C. This position is not eligibale for sponsorship or relocation assistance. How You'll Make An Impact Consumer Reports' Experimental Engineering team is dedicated to rapidly exploring and prototyping solutions that empower consumers. As a Sr. Research Engineer on our team, you will: • Lead exploratory spikes, proof-of-concept projects, and early-stage prototyping end-to-end to test high-impact, forward-looking ideas., • Identify strategic opportunities in emerging technologies (notably AI/ML) and translate these opportunities into actionable prototypes, • Serve as a technical leader on AskCR, our RAG chatbot built on Consumer Reports' product testing, journalism, and advocacy work and own architectural decisions on retrieval, evaluation, and orchestration, • Collaborate closely on technical planning, architecture, and implementation efforts for AskCR, our RAG chatbot built on Consumer Report's product testing, journalism and advocacy work., • Work collaboratively across cross-functional teams (Digital Product, Product Testing, User Research, Data Engineering, Advocacy) to share insights and ensure learnings are leveraged broadly across Consumer Reports., • Establish and refine practices for documenting experiments and synthesizing research outputs to maximize their organizational impact., • Mentor engineers and raise the technical bar across the team., • Cultivate a culture of curiosity, experimentation, rapid learning, and discovery. ABOUT YOU You'll Be Highly Rated If: • You have deep experience as a full-stack software engineer, with additional depth and interest in applied research, particularly within AI/ML domains., • You are a problem solver. You can take a vague problem and return with a crisp framing, a plan, and a working prototype without needing the path defined for you., • You are motivated by entrepreneurial challenges, comfortable navigating ambiguity, and experienced in rapidly iterating early ideas to test feasibility and viability., • You're comfortable being a senior voice on the team and making calls on technical direction, pushing back when something isn't worth building, and knowing when to kill a project., • You effectively communicate experimental findings and engineering insights clearly and enthusiastically to both technical and non-technical stakeholders., • You understand the balance between near-term product delivery and longer-term investment in innovation, and are capable of operating effectively in early phases of product development (spike → proof-of-concept → early prototype)., • You have practical understanding or curiosity regarding consumer rights, consumer advocacy, product ethics, and how responsible AI can empower individuals. You'll Be One of Our Top Picks If: • You have the experience. 7+ years of professional software engineering experience; a Swiss army knife of engineering skill with demonstrated expertise in Python (particularly FastAPI), frontend development frameworks (ideally React and React Native) and AI orchestration., • You've built and shipped applied AI products to consumers (building data pipelines, fine-tuning models, evaluating AI tools)., • You have a demonstrated curiosity for solving challenging and non-straightforward engineering problems; this might be reflected in a prior research engineering position, contributions to open source projects, self-directed programming projects, or something you'll surprise us with., • You bring a track record of designing and building innovative prototypes from the ground up, with examples you can walk through., • You have exceptional problem-solving skills and the ability to clearly communicate technical concepts to cross-functional teams., • You have experience mentoring other engineers or otherwise multiplying the work of a team. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation informed by location, as well as the candidate's particular combination of knowledge, skills, competencies, and experience. It is expected that most qualified candidates will fall near the middle of the posted salary range. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $140K-$160K annually, • DMV/Massachusetts: $120K-$140K annually, • Colchester, CT and additional approved CR locations: $115K-$135K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job DescriptionCompany Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ Job Description Develop and maintain core positioning, messaging frameworks, and value propositions for Mirantis’ AI infrastructure and cloud-native platform portfolio. Translate highly technical product capabilities — GPU cluster orchestration, multi-cluster Kubernetes management, MLOps pipelines — into audience-specific narratives for practitioners, platform engineers, and C-suite buyers. Own the competitive intelligence function: track competitors including Red Hat OpenShift AI, NVIDIA Base Command, Rancher/SUSE, VMware Tanzu, and emerging AI cloud providers; produce battlecards, comparisons, and win/loss analysis. Produce a steady cadence of high-quality technical content: solution briefs, white papers, blog posts, use case studies, reference architectures, and demo scripts. Partner with solution architects and product managers to develop technical content that educates buyers on AI infrastructure patterns, including LLM inference at scale, GPU scheduling, and developer platform self-service. Support demand generation campaigns with compelling assets aligned to key personas: AI/ML engineers, platform ops teams, and infrastructure decision-makers. Build and maintain sales enablement materials, including pitch decks, battlecards, objection-handling guides, and ROI frameworks. Partner with solution architects and sales teams to distill field learnings into sharper messaging and better-targeted content. Support product launches with go-to-market plans, launch kits, and internal training materials. Monitor trends across the AI infrastructure, cloud-native, and open-source ecosystems to surface market insights that inform GTM strategy. Support analyst and media briefings; contribute to Mirantis’ positioning in key industry conversations and reports. Represent Mirantis’ platform perspective at industry events, webinars, and community forums as a subject matter resource. Qualifications Required Qualifications 4–7 years of experience in product marketing, technical marketing, or a closely adjacent role (solutions marketing, developer marketing, content strategy) within the cloud infrastructure, DevOps, or enterprise software space. Demonstrated ability to understand and credibly communicate complex technical concepts related to: Kubernetes, container orchestration, and cloud-native platforms AI/ML infrastructure, including model serving, inference, GPU resource management, and MLOps tooling Hybrid and multi-cloud deployment patterns across AWS, GCP, and Azure Strong writing and storytelling skills — able to produce clear, engaging content for both technical and business audiences without heavy editing. Experience developing sales enablement materials and working directly with sales and pre-sales teams. Familiarity with the competitive landscape across cloud infrastructure, AI platforms, and open-source ecosystems (e.g., Red Hat, NVIDIA, Canonical, Rancher/SUSE, HashiCorp). Comfort working in a fast-paced, distributed environment with a high degree of autonomy. Soft Skills and Team Fit Intellectually curious with a genuine interest in how AI infrastructure works under the hood. Strong cross-functional collaborator — comfortable engaging with engineers, product managers, and executives alike. Structured thinker who can manage multiple projects and deadlines without losing narrative coherence. Passion for open source, developer communities, and the cloud-native ecosystem. Entrepreneurial mindset with a bias toward shipping content and iterating quickly. Nice to Have Hands-on experience with Kubernetes, MLflow, Kubeflow, Ray, or similar infrastructure tooling. Background in or exposure to AI/ML engineering, DevOps, or platform engineering. Prior experience in or familiarity with companies like RunPod, SpectroCloud, Rafay, Anyscale, Hugging Face, Together AI, or Modal. Experience supporting analyst relations or contributing to industry research and reports. CNCF ecosystem knowledge or cloud/Kubernetes certifications a plus. Additional Information What does Mirantis offer you? Work with an established Silicon Valley leader in the cloud infrastructure industry. Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. Be a part of cutting-edge, open-source innovation. Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. Receive a competitive compensation package with strong benefits plan #remote We are a Leader for Container Management in G2 (#2 after AWS)!

Job DescriptionCompany Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is looking for an experienced Technical Recruiter to support our global hiring across engineering, product, and customer-facing functions. This is a contract position for a strong individual contributor who can independently manage searches, build pipelines, and influence hiring outcomes in a distributed team. You’ll play a key role in helping Mirantis scale — hiring people who shape the core of our cloud-native platform, open-source products, and go-to-market execution. What You’ll Do Own end-to-end US recruitment for technical and business roles Drive direct sourcing efforts using LinkedIn Recruiter and other platforms Partner with hiring managers to shape profiles, define strategy, and deliver results Act as a recruiting advisor, providing insights on talent market conditions, sourcing feasibility, and hiring best practices Ensure a structured, timely, and professional candidate experience Use SmartRecruiters (ATS) to manage pipelines, reporting, and workflows Collaborate with a distributed Talent Acquisition team while owning your roles independently Qualifications 3–5 years of full-cycle recruiting experience in tech, ideally in cloud infrastructure, SaaS, or open-source environments Proven success in sourcing and closing candidates across a range of roles — including Product Managers, Account Executives, Pre-Sales Architects, and other Go-To-Market functions Experience partnering with hiring managers as a trusted advisor, providing strategic input on hiring decisions, not just coordinating logistics Skilled in LinkedIn Recruiter, outbound sourcing strategies, and talent market research Hands-on experience working with ATS tools (SmartRecruiters preferred) Ability to manage multiple roles independently, prioritize effectively, and own results from start to finish Excellent communication skills and ease in collaborating across time zones, teams, and cultures Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. Actual base salary varies based on factors, including but limited to, relevant sill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Job Description Director, Head of Product Management – AI-Enabled Precision Medicine (Therapeutics & Innovations) About Us We are redefining the future of precision medicine by integrating AI with healthcare to create next-generation, precision treatment modalities. Our multidisciplinary team is building products at the intersection of clinical data, multi-omics, and machine learning—unlocking entirely new approaches to drug development and patient care. Within the Therapeutics & Innovations Business Unit, we are developing a new category that bridges diagnostics and therapeutics. Our platform combines deep scientific expertise with proprietary datasets to power AI-enabled solutions that can transform how therapies are discovered, developed, and deployed. We are looking for a product leader who can translate this potential into real, scalable products—owning the strategy, roadmap, and execution to bring these innovations to market. The Role We are seeking a Director / Head of Product Management to lead product strategy and execution for our AI-enabled therapeutics platform. This is a highly cross-functional leadership role at the center of science, engineering, clinical development, and commercial strategy. You will define what we build, why it matters, and how it creates value—for biopharma partners, clinicians, and ultimately patients. You will own the product lifecycle end-to-end: from concept and validation through development, launch, and iteration. This role requires a rare blend of scientific fluency, product rigor, and commercial instinct. You will work closely with R&D, AI, medical, business development, and marketing to ensure our products are scientifically credible, operationally feasible, and commercially compelling. What You'll DoProduct Strategy & Vision Define and own the product vision and roadmap for AI-enabled tools for precision medicine offerings (e.g., biomarkers, trial enablement tools, co-development platforms) via genomic language models, biomedical AI agents, AI-driven analysis platforms, forecasting algorithms. Identify high-value use cases across drug development (e.g., trial design, patient selection, translational insights, companion diagnostics). Translate platform capabilities into clear product strategies aligned with business goals. Product Development & Execution Lead the end-to-end product lifecycle: concept → validation → build → launch → iteration. Partner with R&D, data science, and engineering to define product requirements and ensure high-quality execution. Drive prioritization decisions across competing opportunities based on impact, feasibility, and strategic alignment. Customer & Market Insight Engage with biopharma partners, clinicians, and internal stakeholders to deeply understand needs and workflows. Synthesize customer insights into product requirements and roadmap decisions. Continuously assess market trends, competitive landscape, and emerging technologies. Cross-Functional Leadership Serve as the central hub across Product, R&D, Clinical, BD, and Marketing. Align stakeholders around a unified product strategy and execution plan. Drive decision-making in a matrixed, fast-moving environment. Commercialization & Launch Partner with commercial and BD teams to define product positioning, packaging, and pricing. Support go-to-market strategy, including pilot programs, partnerships, and scaled deployments. Ensure successful product launches with clear value propositions and supporting evidence. Data, Evidence & Validation Define requirements for product validation, including analytical, clinical, and real-world evidence. Ensure products meet scientific, regulatory, and commercial expectations. Partner with clinical and regulatory teams to align product strategy with approval pathways where applicable. Team Building & Leadership Build and mentor a high-performing product management function. Establish product processes, operating cadence, and best practices. Foster a culture of ownership, speed, and scientific rigor. What We're Looking For Advanced degree (PhD, MD, MS, or equivalent) in life sciences, bioengineering, computational biology, or related field preferred. 8–12+ years of experience in product management, product strategy, or related roles in biotech, life sciences, or healthcare technology. Proven track record of building and launching complex, data-driven products. Strong understanding of drug development workflows and/or clinical diagnostics. Experience working with AI/ML-driven products or data platforms is highly preferred. Exceptional ability to translate complex science into clear product decisions and strategies. Demonstrated success leading cross-functional teams in ambiguous environments. Strong commercial acumen, including product-market fit, pricing, and partnership models. Bonus: Experience with biomarker development, oncology, or precision medicine. Background in diagnostics + therapeutics integration. Experience in early-stage or high-growth environments. Why Join Us Build and define an entirely new category at the intersection of AI, diagnostics, and therapeutics. Own product strategy for some of the most advanced datasets and capabilities in healthcare. Work alongside world-class scientists, clinicians, and business leaders. Directly impact how therapies are developed and delivered to patients. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$184,600—$230,700 USD Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: Annual performance incentive bonus Long-term equity awards Comprehensive health benefits (medical, dental, vision) 401(k) with company match Generous paid time off and company holidays Additional wellness and work-life benefits Compensation Range $184,600—$230,700 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

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: $34/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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.