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Job Description Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Labeling Associate, • Hiring in: 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/hour 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, Austin. Please only apply if you meet this location requirement. What You’ll Do • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level Spanish language proficiency and a university degree (Bachelor’s or higher)., • B2 or superior level of English., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. 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 DescriptionAbout Us Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up. Our mission is to improve people's health by making it easy to live a healthy lifestyle. Nourish is the country's largest dietitian-led metabolic health clinic. We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems. In 2026 we raised a $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners. Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast. This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we're solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it. About the Role: At Nourish, we believe the quality of a product is a massive differentiator that separates great products and services from average ones. As the company scales rapidly and builds new products, we are looking for a Staff Product Designer who can raise the bar and help integrate our new offerings in a seamless way. In this role, you'll own projects that will set the strategic foundation for how Nourish's product offerings expand and see the projects through from conception to execution and implementation. You'll use your expertise in design, user psychology, and data-driven decision-making to create intuitive experiences and raise the bar for craft. This person will join our small design team and report directly to our Head of Design. We are a team that cares about our work, but we try not to take ourselves too seriously. We believe deeply that empathy, trust, and collaboration are what drive the best outcomes and that work can feel like play! This role is full-time and can be based in either NYC (hybrid, in-office 2-4 days per week), SF (hybrid, in-office 1-3 days per week), or LA (remote, with occasional travel to SF or NYC). Check out EPD at Nourish and Design Values to learn more about our team! Key Responsibilities: • Establish best practices for information architecture. As Nourish has expanded our product offerings, ensuring that the user experience stays consistent has become more challenging. You will be driving forward the execution and vision of what it looks like to build an integrated preventative health product offering., • Design best-in-class experiences for all our users. Your work will not be limited to one area of our platform but instead will span our patient, provider, and growth products. You will iterate on existing features, create net new features, and continue to test both., • Help drive qualitative user research. You'll build prototypes, conduct interviews, and create surveys to test hypotheses about designs and products., • Grow and maintain our design system. You'll help the team operate efficiently and keep our quality consistent by helping manage our component library., • Help build a design culture at Nourish. We want to be a company that is known for quality and craft, and is willing to go the extra mile to make our patient and provider experiences excellent. No detail is too small, and no journey is under-considered.We'd love to hear from you if:, • You have 10+ years experience designing compelling digital products., • You are deeply customer- and craft-oriented. You care about understanding real user needs and translating them into clear, thoughtful product experiences. You have strong design fundamentals and know how to apply them in messy, real-world product environments., • You are a builder. You like taking ideas from 0 to 1 and then improving them relentlessly. Shipping matters to you. You're comfortable iterating quickly and learning as you go., • You take ownership and push work forward. This is not an environment where designers wait for perfect briefs or fully defined problems. You're comfortable working through ambiguity, forming strong opinions, and helping drive product decisions alongside product and engineering., • You communicate with a high signal‑to‑noise ratio. We value clear thinking and efficient communication. Whether written or verbal, you can explain ideas quickly and directly. You don't rely on long explanations or filler to make a point., • You do your own stunts. No task is beneath you if it helps move the product forward. You might run user interviews, refine product copy, improve a flow, help prepare a deck, or jump into a messy problem that doesn't have an obvious owner., • You're comfortable in a demanding environment. We move quickly and hold a high bar for quality and accountability. There is little room to coast here. People who thrive on this team tend to have grit, curiosity, and a pragmatic, roll‑up‑your‑sleeves attitude., • You understand that meaningful work sometimes requires extra effort. Startups have moments where the work extends beyond a tidy 9–5 schedule. If you're the kind of person who cares deeply about the outcome and is willing to lean in when the work demands it, you'll likely feel at home here., • You're motivated by impact. The problems we're working on—nutrition, chronic disease, and preventative healthcare—are meaningful and complex. The right person for this role is energized by the opportunity to help build something that materially improves people's lives.More Information The Nourish Bar Our Values How We Work Comp Philosophy Benefits

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: $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, Los Angeles, Washington DC, 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 location Why 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: Speech & Voice AI 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: $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, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Portuguese (Brazil), • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why 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: $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, Los Angeles, Washington DC, Boston, Chicago, Austin. 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 location Why 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 (Speech & Voice AI), • 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), • Hourly Pay Rate: $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, Los Angeles, Washington DC, 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 English (UK), • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location #L1-CC1 Why 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: $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, Los Angeles, Washington DC, Chicago, Austin, 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 location Why 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: Speech & Voice Ai 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: $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, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in French, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses 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 DescriptionSalary range: $150K - $200K Location: San Mateo, CA, Provo, UT, New York, NY, San Francisco Bay Area, Salt Lake City / Lehi, UT, Toronto, ON, Chicago, IL, Waterloo, ON, Seattle, WA, Austin, TX, Boston, MA, Washington, DC / Northern Virginia, Los Angeles / Orange County, CA, Atlanta, GA, Raleigh-Durham, NC, Denver / Boulder, CO, Vancouver, BC, San Diego, CA, Phoenix, AZ, Philadelphia, PA, Miami, FL Visa Sponsorship Details: Not open to any visas (e.g. US citizen, Green Card holders) Remote work policy: Hybrid (3 days/week in office) for candidates within 50 miles of our San Mateo, Provo, or New York offices. All other candidates can work remotely — priority given to those in hub cities (SF Bay Area, Salt Lake City/Lehi/Provo, NYC, Toronto, Chicago, Waterloo, Seattle, Austin, Boston, DC/NoVA, LA/OC, Atlanta, Raleigh-Durham, Denver/Boulder, Vancouver, San Diego, Phoenix, Philadelphia, Miami), then those near a major airport. About this role We are looking for a Solutions Advisor with 4+ years of experience to serve as a trusted post-sale partner for in-house legal teams adopting GC AI's platform. You'll sit at the intersection of legal expertise, legal operations, and customer success — helping clients unlock the full value of an AI-powered legal platform that's redefining how in-house teams work. This is a high-impact, customer-facing role at one of the fastest-growing legal AI companies in the market. What will you be doing? Onboard and enable customers post-sale, helping in-house legal teams adopt and maximize GC AI's platform Understand customer pain points and drive tailored projects and workflows that improve their legal operations Upsell and expand existing accounts by continuously demonstrating value and deepening relationships Teach courses and present at conferences as part of GC AI's Academy, educating customers on platform features and best practices Collaborate cross-functionally with the go-to-market and product teams to surface customer insights and inform the roadmap Key Requirements 4+ years of experience in legal operations, legal consulting (e.g. PwC, Deloitte legal group), or a closely related field — no law degree required Strong understanding of how in-house legal teams operate, including their workflows, pain points, and processes Consulting or advisory background with demonstrated ability to manage projects and communicate recommendations to clients Excellent communication and interpersonal skills — comfortable presenting, teaching, and building relationships with customers Genuine enthusiasm for AI tools and willingness to travel ~25% of the time

Job DescriptionWho We're Looking For Role: Account Executive Team: Sales Reports To: Director, Enterprise Sales Supervisory Responsibility: This role does not currently have direct reports. Ideal Start Date: February 1, 2026 Location: We are a remote-first company but we prioritize candidates in New York City, Chicago, D.C., and San Francisco given the customer requirements of this role. We have office spaces available in all of our hubs. Travel: This role will travel as needed for in-person customer meetings and industry conferences. Note, Knit does US All Team, in-person company events 2x per year. Salary Range: $115,000K - $150,000K base (50% base / variable) A little about us Knit is the AI-native research agency. We help the world's most iconic brands make confident decisions through deep customer understanding. Knit pairs our AI-native tooling with world-class researchers to run quant and qual at scale - delivering executive, decision-ready insights to inform billion dollar decisions. Teams at Amazon, Mars, T-Mobile, Paramount, McCormick, Nestle, Medtronic and 100+ others trust Knit to bring real customer voices into their biggest decisions. Knit recently closed its Series B, raising $60M+ to date. Our team of ~80 is US remote friendly, with headquarters in our NYC midtown office. Our team is built with operating talent from Kantar, Ipsos, Deloitte, and unicorn startups. Come build with us! Overview The Enterprise AE will play a critical role in driving Knit's next phase of growth by opening net-new enterprise partnerships across their territory. Insights teams are being asked to do more with less, and the traditional model forces them to choose between speed and quality, quant and qual, budget and depth. Knit removes that tradeoff. Our researchers and AI take a study from brief to decision-ready report in about a week, at a fraction of the cost of a traditional agency. You'll bring that to the next wave of Fortune 1000 insights organizations. This is a full-cycle, new-logo role: you'll prospect, qualify, and close new business, partnering closely with Research and Customer Success throughout the sales process. Once a partnership is signed, you'll hand it off to our Client Partner and Customer Success teams, who grow it from there. You'll join a team that's building something category-defining, and you'll help shape how some of the world's most respected brands uncover and activate insights through AI-native research. This is a high-impact role for a builder. You'll have a real voice in how we sell, refine our processes, and elevate how enterprise clients experience Knit from the very first conversation. What you will own Primary responsibilities of this role: • Drive net-new revenue by identifying, engaging, and closing partnerships with enterprise organizations., • Collaborate deeply with Research and Customer Success teams throughout the sales process to ensure Knit's products align perfectly with client needs., • Lead a consultative, insight-driven sales process from discovery through close, positioning Knit as a trusted partner—not just a vendor., • Develop tailored outreach strategies to generate new introductions while partnering with Marketing on inbound interest., • Ensure seamless handoffs post-sale, clearly articulating client goals, key stakeholders, and success criteria., • Identify cross-sell opportunities within existing clients, expanding Knit's footprint across business units and functions., • Maintain high standards for pipeline integrity, forecasting accuracy, and documentation across every stage of the deal cycle., • Represent Knit at conferences, trade shows, and industry events, showcasing our AI-native insights capabilities and building relationships with prospective clients., • Continuously experiment and improve, bringing creativity, curiosity, and proactive thinking to how we sell and engage. You'll be measured primarily by: • Net-New Revenue: Bringing on new enterprise logos and establishing lasting partnerships., • Territory Growth: Building a healthy, well-qualified pipeline across your territory's highest-potential accounts., • Sales Excellence: Running disciplined processes, accurate forecasts, and detailed, data-driven deal hygiene.Required Skills & Experiences A successful candidate for this role has a track record of bringing on net-new contracts at Fortune 1000 companies, ideally with Insights and Marketing teams. This role is ideal for someone who thrives in consultative, discovery-led selling and knows that a client's first experience with Knit starts with them. Required: • 5+ years of experience leading a consultative, full-cycle enterprise sales process focused on new logos, • Consistent track record of hitting or exceeding $1M+ annual sales quotas, • Experience selling $100K+ annual contracts to Fortune 1000 companies, • A discovery-first sales approach; you run a process that is thoughtful, intentional, curious, and consultative, • Exceptionally organized, with disciplined pipeline management and attention to detail, • Deep curiosity and the ability to translate complex ideas into clear, compelling value, • Experience working in a collaborative, fast-scaling environment alongside Customer Success, Marketing, and Product teams, • A builder's mindset; you are comfortable navigating ambiguity and energized by shaping the sales playbook as we grow Nice to Haves: • Direct experience selling into Insights, Analytics, or Marketing teams at enterprise organizations, • Familiarity with market research agencies, methodologies, or data platforms, • Experience building or owning a geographic territory, • Background in SaaS, AI, or technology-enabled services that drive strategic business decisions, • History of success in high-growth or startup environments where playbooks are still being writtenBenefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $110,000 - $150,000 with an OTE (Base + Commission) of $240,000 - $300,000 annually. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through)., • Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. Knit Privacy Policy here. CCPA disclosure here.

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: Speech & Voice AI 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), • Hourly Pay Rate: 28 usdImportant: 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, Los Angeles, Washington DC, 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 location Job reference: #L1-CC1 Why 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: $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, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Portuguese (Portugal), • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why 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 (Speech & Voice AI), • 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), • Hourly Pay Rate: $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, Los Angeles, Washington DC, 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 (Spain), • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location #L1-CC1 Why 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: $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, Los Angeles, Washington DC, 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 Arabic, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why 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: $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, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Finnish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why 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 Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Now, we're growing! The Role This role is accountable for the growth, strategic direction and performance of Cognitiv's Custom Algorithms product by defining what the market needs from it, which KPIs it optimizes toward, and how we drive adoption and revenue growth. You will work closely with Data Science, Engineering, Sales, Customer Success, and Product Marketing to deliver new products and capabilities that drive top-line revenue growth and customer retention. Location: This position will be located in NYC, San Mateo, or Bellevue with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote optional (Thursday/Friday). What You'll Do: • End-to-End Strategy & Roadmap Ownership. Lead product strategy for Custom Algorithms from vision to execution. Prioritize high-impact features, evaluate incoming custom client requests strategically to determine if they are worth pursuing, and make the hard calls on what to ship, defer, or decline to keep the team focused., • Data Science & Engineering Partnership. Set the product goals models optimize toward, and agree on the quality bar a model must clear before launch with Data Science and Engineering. Build deep trust and credibility with the Data Science team while ensuring clear boundaries: Data Science owns the modeling approach, features, and technical execution; you own what good looks like and the product direction., • Performance Accountability. Monitor and analyze campaign performance to ensure algorithms perform at a high level. When campaigns underperform, size the commercial impact and drive prioritization with Science and Engineering through to resolution., • Adoption and Commercial Fit. Partner directly with Sales, Customer Success, and Product Marketing to drive uptake across the advertiser base. Support Sales on strategic client calls when deep product expertise is needed. Define which advertisers are a good fit, set clear performance expectations before a campaign launches, and know when to decline., • Scalable Delivery & Process. Drive down the manual effort and time required to launch each custom model, working with Data Science and Engineering to establish a repeatable, scalable process for running custom algorithms., • Market Analysis and Revenue Growth. Conduct market research to understand industry trends, evaluate how our product stacks up against competitors, and uncover new opportunities. Identify which types of customers we should be going after and how, determine which new KPI models to build, uncover new opportunities, and expand top-line growth., • Cross-Functional Leadership. Own the product point of view for Custom Algorithms across Data Science, Engineering, Sales, Customer Success, Product Marketing, and executive leadership. Who you are: • AI & ML Product Fluency. You've worked on products where Machine Learning and/or Deep Learning were the core of the value, so you know how they behave: data requirements, probabilistic output, performance that drifts. You keep current on what's becoming possible in AI and what it means for products like ours. You can judge whether a model is serving the product goal, push back when it isn't, and be taken seriously by the people who build it., • Commercial ML Track Record. You've owned ML products where the output was money, not a metric (e.g., driving measurable revenue growth). Recommendations, pricing, risk, fraud, search ranking, marketplace matching. High-volume inference, noisy feedback, and a real commercial consequence when the model is wrong., • Technical Translator. You translate model behavior into commercial language. You can explain to an advertiser why their conversion volume isn't enough to train on, and tell a sales lead what "good" looks like before the deal is signed. This is the highest-leverage skill in the role., • Analytically Self-Sufficient. You pull and interrogate performance data yourself. Given an underperforming campaign, you arrive with a hypothesis, not a request for someone else to look into it., • Accountable Product Owner. You've owned a technical product end to end (or owned a significant, high-impact component of a complex technical product). Discovery through ship, with the tradeoff calls made on incomplete information. You write specs engineering can build from without follow-up clarification sessions. You're the accountable owner, not a coordinator., • Credible in the Room. You present with authority to advertisers and to executives, and you can hold a room when the news isn't good., • Proven Track Record. 5+ years in Product Management, or in data science / ML engineering with direct product ownership. Bonus Points If You Have: • Programmatic advertising experience, including bidding and auction mechanics, campaign KPIs, and attribution., • Causal and experimental rigor. You can design a holdout, reason about selection effects, and tell whether a model is creating outcomes or just finding people who would have converted anyway., • A hands-on modeling background, or you still write SQL and Python., • Experience turning a bespoke, specialist-delivered offering into something repeatable and productized., • Familiarity with signal loss and privacy, including first-party data onboarding, clean rooms, and identity., • Enthusiasm for staying up to date with the latest AI technologies and trends and identifying ways to apply them to products. Salary: $175,000 - $210,000 Base Salary + Equity What We Offer Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package. Highlights include: • Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees, • 12 weeks paid parental leave + 4 weeks WFH, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) & RRSP with employer match, • Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more! What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork. Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all. Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.

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: Speech & Voice AI 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: $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, Los Angeles, Washington DC, 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 location Job reference: #L1-CC1 Why 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 (Speech & Voice AI), • 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), • Hourly Pay Rate: $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, Los Angeles, Washington DC, 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 (Mexico), • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location #L1-CC1 Why 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: $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, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Swedish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Why 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: $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, Los Angeles, Washington DC, Boston, Chicago, Austin. 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 location Why 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: Speech & Voice AI 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: $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, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Polish, • Strong written communication skills and language fundamentals, • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field., • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job reference: #L1-CC1 Why 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 DescriptionSalary range: $200K - $240K Location: San Francisco, South Bay Area, New York, Seattle, Chicago, Texas, Boston, Washington DC, Los Angeles, Denver, Florida, Canada Visa Sponsorship Details: Not open to any visas (e.g. US citizen, Green Card holders) Remote work policy: Candidates within 50 miles of our San Mateo, CA, Provo, UT, or New York, NY offices work hybrid, 3 days/week in office (Tue–Thu). All other candidates can work remotely. Remote priority: (1) hub cities — SF Bay Area, Salt Lake City/Lehi/Provo, NYC, Toronto, Chicago, Waterloo, Seattle, Austin, Boston, DC/NoVA, LA/OC, Atlanta, Raleigh-Durham, Denver/Boulder, Vancouver, San Diego, Phoenix, Philadelphia, Miami; (2) candidates near a major airport. About this role We are looking for a Solutions Attorney with 4+ years of legal experience (including 2+ years in-house) to be the strategic bridge between GC AI's platform and its customers. You'll blend deep legal expertise with a genuine passion for AI to drive adoption, lead demos and trials, and help in-house legal teams unlock entirely new ways of working. This is a high-impact, customer-facing role at one of the fastest-growing legal AI companies in the world. What will you be doing? Lead product demos and trials alongside AEs (Go-to-Market track) or own onboarding and enablement for existing customers (Forward Deployed track) Partner with in-house legal teams to understand their workflows and design AI-powered solutions tailored to their needs Draft high-impact AI prompts and build a library of sample outputs to showcase GC AI's value across practice areas Teach Academy courses and present at conferences, equipping lawyers to confidently adopt AI in their practice Act as the Voice of the Customer — surfacing insights to Product to ensure the platform evolves around real legal workflows Key Requirements 4+ years of legal experience, including 2+ years in-house at a recognizable company or large legal department Big Law or top-100 AmLaw firm training — strong legal fundamentals are non-negotiable Top 50–100 law school preferred; pedigree matters given the caliber of the team and customers Genuine enthusiasm for AI — actively using tools like Claude, ChatGPT, or similar in your day-to-day work (not just for vacation planning) Comfortable in customer-facing, consultative environments — ideally with experience in legal consulting (e.g., PwC, Deloitte legal) or a strong track record of client communication

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: 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: $38/hour 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, Austin. 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 Spanish 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 DescriptionSalary range: $150K - $240K Location: New York, San Francisco, South Bay Area, Los Angeles, Boston, Seattle, Texas, Chicago, Washington DC, Denver, Florida, Minnesota, Sacramento, Canada Visa Sponsorship Details: Not open to any visas (e.g. US citizen, Green Card holders) Remote work policy: Hybrid (3 days/week in office, Tue/Wed/Thu) for candidates within 50 miles of our San Mateo, CA, Provo, UT, or New York, NY offices. All other candidates can work remotely, with priority given to those in hub cities (SF Bay Area, Salt Lake City/Lehi/Provo, NYC, Toronto, Chicago, Waterloo, Seattle, Austin, Boston, DC/NoVA, LA/OC, Atlanta, Raleigh-Durham, Denver/Boulder, Vancouver, San Diego, Phoenix, Philadelphia, Miami), then those near a major airport. About this role We are looking for an R&D Attorney with 5+ years of legal experience to sit at the intersection of law and product — embedded directly with engineering teams to shape the AI features that in-house legal teams rely on every day. You'll bring deep legal expertise and a builder's mindset to help our client define what excellent legal AI actually looks like, from running evals to shipping new features alongside engineers. What will you be doing? Embed with engineering squads to co-develop new features and products, serving as the legal voice and product partner throughout the build cycle Design and run rigorous evaluations (evals) to benchmark AI output quality against top-tier legal standards and competing models Translate real in-house legal workflows and customer feedback into clear product requirements and acceptance criteria AI-code using tools like Cursor and Claude to ship fixes, improvements, and new capabilities directly into the product Train internal sales and solutions teams on new features so they can confidently represent the product to customers Key Requirements Licensed attorney with meaningful law firm training (AmLaw 100 firm strongly preferred) plus some in-house experience Top 50–100 law school pedigree; top undergrad or technical undergrad a plus Deep substantive expertise in at least one area of law (e.g. fintech, corporate/commercial, privacy, compliance, employment — non-tech industry backgrounds especially welcome) Genuine comfort using AI tools (Claude, Cursor, etc.) and a builder mentality — willingness to vibe-code and ship PRs within the first month Strong project management and cross-functional communication skills; no job-hopping (tenure matters)

Job Description JOB TITLE: Mechanical Engineer, Modular R&D- 25% travel required LOCATION: Austin, TX, NYC, San Francisco, CA, Phoenix, AZ, or Seattle, WA preferred. Strong remote candidates will be considered. 25% travel required for all locations. DURATION: FTE Direct Hire RATE RANGE: 165-206K/year plus equity TOP SKILLS: • 7+ years designing mechanical systems for modular infrastructure, cooling systems, industrial equipment, or manufactured products., • Experience designing liquid cooling systems, pumps, heat exchangers, piping systems, cooling towers, or heat rejection systems., • Experience developing P&IDs, equipment layouts, piping drawings, and fabrication-ready mechanical packages., • Experience supporting prototype builds, first-article reviews, factory acceptance testing, or production launches., • Experience working directly with fabrication shops, manufacturers, installers, or production teams to resolve design issues., • Experience with SolidWorks, Inventor, Revit, Creo, or similar 3D mechanical design tools. Role Scope Engineer the mechanical systems of the modular product: cooling, piping, and airflow from concept to released drawings. Own the liquid cooling loops, pumps, and heat rejection design the modular product's density depends on. Solve the integration problems where mechanical meets structure and electrical: routing, interfaces, and tolerances where the disciplines collide. Support the factory and field: mechanical RFIs answered same-day, fixes engineered into the next revision. Prototype and validate: mockups, fit checks, and first-article reviews you attend in person. What We're Looking For You've engineered mechanical systems for complex physical products or modular construction hands-on. Your drawings build clean: fabricators rarely call, and when they do you fix the drawing. You work across disciplines instead of throwing problems over walls. You've supported production launches of your own designs. You iterate fast without losing configuration control. Bonus: Liquid cooling depth. Sheet metal and piping design. 3D CAD mastery (SolidWorks, Inventor, Revit). DFM instincts. The Modular TeamExamples of key problems the team is working on Design the module that makes 6-month data centers possible. Fluidstack builds data centers in months, not years, and that speed lives in the modular product: a data center engineered as a manufactured unit, not a construction project. Take designs from concept to the manufacturing line in weeks. Concept, released drawings, first article, and rate production on a compressed schedule, with the factory building from your work the same month you release it. Engineer for the thousandth unit, not the first. On the way to 10 GW, every drawing, tolerance, and BOM decision has to survive rate manufacturing, so repeatability is designed in from the start. Required: • 7+ years designing mechanical systems for modular infrastructure, cooling systems, industrial equipment, or manufactured products., • Experience designing liquid cooling systems, pumps, heat exchangers, piping systems, cooling towers, or heat rejection systems., • Experience developing P&IDs, equipment layouts, piping drawings, and fabrication-ready mechanical packages., • Experience supporting prototype builds, first-article reviews, factory acceptance testing, or production launches., • Experience working directly with fabrication shops, manufacturers, installers, or production teams to resolve design issues., • Experience with SolidWorks, Inventor, Revit, Creo, or similar 3D mechanical design tools. Preferred: • Direct-to-chip cooling, liquid cooling loops, CDUs, or AI/HPC cooling experience., • Modular data centers, equipment skids, or prefabricated infrastructure experience., • SolidWorks, Inventor, Creo, or similar mechanical product design tools., • DFM/DFA and manufacturing-focused design experience., • First-article builds, FAT, production launches, or manufacturing engineering experience BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123

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: 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: $38/hour 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, Austin. 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 German 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: 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: $38/hour 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, Austin. 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: 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: $38/hour 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, Austin. 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 Turkish 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: 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: $38/hour 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, Austin. 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 Portuguese (Portugal) 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: 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: $38/hour 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, Austin. 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 Italian 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 Who We're Looking For Role: Client Partner – Food & Beverage, QSR & Auto Team: Sales Vertical: Food & Beverage, QSR & Auto Reports To: Managing Client Partner – Food & Beverage, QSR & Auto Supervisory Responsibility: This role does not currently have direct reports. Ideal Start Date: February 1, 2027. Location: We are a remote-first company but we prioritize candidates in New York City, Chicago, San Francisco, LA, Boston, Seattle or Philadelphia given the customer requirements of this role. We have office spaces available in all of our hubs. Travel: This role will travel as needed for in-person customer meetings and industry conferences. Note, Knit does US All Team, in-person company events 2x per year. Salary Range: $120K - $160K base (50% base / variable) A Little About Us... Knit is the AI-native research agency. We help the world's most iconic brands make confident decisions through deep customer understanding. Knit pairs our AI-native tooling with world-class researchers to run quant and qual at scale - delivering executive, decision-ready insights to inform billion dollar decisions. Teams at Amazon, Mars, T-Mobile, Paramount, McCormick, Nestle, Medtronic and 100+ others trust Knit to bring real customer voices into their biggest decisions. Knit recently closed its Series B, raising $60M+ to date. Our team of ~80 is US remote friendly, with headquarters in our NYC midtown office. Our team is built with operating talent from Kantar, Ipsos, Deloitte, and unicorn startups. Come build with us! Overview The Client Partner – Food & Beverage, QSR & Auto will play a critical role in driving Knit's growth in the Food & Beverage, QSR & Auto vertical by managing and expanding our largest enterprise partnerships while also building relationships with new high-potential accounts. You'll own a portfolio of 10–20 enterprise accounts across food & beverage, quick-service restaurants (QSR), and automotive (some existing, some new) with the mandate to retain, grow, and strategically expand them across brands, business units, and markets. These are organizations where innovation pipelines, menu and product launches, and brand health decisions carry major investment, and where insights teams need fast, confident customer read-outs. Acting as the commercial quarterback, you'll lead renewals, upsells, and cross-sells while prospecting into new divisions and organizations to grow your book of business. You'll join a team that's building something category-defining, and you'll help shape how some of the world's most respected brands uncover and activate insights through AI-native research. This is a high-impact, consultative sales role that blends strategic relationship management with commercial ownership. You'll collaborate closely with Customer Success, Research, and Product to ensure clients are realizing value while uncovering new ways Knit can help them succeed. Primary Responsibilities • Own and grow a portfolio of 10–20 enterprise accounts in Food & Beverage, QSR & Auto, including both existing clients and targeted net-new logos., • Drive renewals and expansion, ensuring every partnership grows in scope, scale, and value year over year., • Uncover and pursue new opportunities within existing and prospective accounts—identifying new business units, teams, and use cases where Knit's platform can deliver value, such as concept and menu testing, flavor and product innovation, limited-time-offer (LTO) evaluation, brand tracking, pricing, vehicle feature prioritization, and path-to-purchase research. Act as a strategic advisor to senior Consumer & Shopper Insights, Innovation, Menu Strategy, Brand, Customer Experience, and Product Planning leaders, helping them expand how they use Knit's AI-native platform across teams and business challenges. • Develop and execute account plans that identify whitespace, prioritize client goals, map key stakeholders, and drive consistent revenue growth., • Lead commercial negotiations—owning renewals, upsells, and cross-sells in collaboration with Sales Leadership, • Collaborate deeply with Customer Success, Research, and Product to ensure clients realize full value from Knit today - and evolve alongside our platform as new capabilities emerge, • Represent Knit externally at Food & Beverage, QSR & Auto conferences, client summits, and industry events, strengthening brand visibility and deepening client relationships., • Maintain high standards for pipeline integrity, forecasting accuracy, and documentation across every stage of the renewal and expansion process.What Success Looks Like You'll be measured primarily by: • Net-New Revenue: Securing new enterprise partnerships and expanding Knit's presence across target Food & Beverage, QSR & Auto accounts., • Net Revenue Retention (NRR): Expanding overall revenue within your account portfolio through renewals, upsells, and cross-sells, • Renewal Rate: Consistently securing on-time, value-driven renewals., • Sales Excellence: Managing disciplined account plans, accurate forecasts, and clear collaboration across internal teams.What You'll Own & Who You Are... A successful candidate for this role has deep experience managing strategic enterprise accounts in Food & Beverage, QSR & Auto, particularly within the Insights, Analytics, or Marketing ecosystem. This role is ideal for someone who thrives in consultative selling, complex relationship management, and commercial ownership. Required: • 7+ years of experience in enterprise account management, client partnerships, or strategic sales in the research and insights industry, • Direct experience selling into and growing accounts at food & beverage manufacturers, QSR/restaurant brands, and/or automotive OEMs, with a working understanding of how insights teams in these industries support Innovation, Brand, and Marketing, • Experience autonomously owning and leading customer relationships and entering new buying centers within existing Enterprise accounts, • We are specifically looking for individuals who have supported clients at Fortune 500 companies, with Insights titles (including but not limited to Chief Research/Insights Officers, VP, director-level and above), • Experience selling $100K+ contracts to clients at Fortune 500 companies and managing $1M+ Enterprise relationships, • Proven success managing Fortune 500 clients with multi-business-unit complexity., • Consistent track record of hitting or exceeding growth, renewal, or NRR targets., • Experience leading commercial negotiations for six- and seven-figure contracts., • Consultative, discovery-led approach with exceptional listening and problem-solving skills., • Highly organized, with disciplined pipeline and account management., • Strong collaboration skills; you are adept at leading cross-functional teams across Customer Success, Research, and Product., • A builder's mindset; you are comfortable navigating ambiguity and energized by shaping processes as we scale. Nice to Haves: • Experience navigating franchise systems (corporate vs. franchisee stakeholders) or multi-brand food portfolios., • Familiarity with automotive product planning cycles, dealer/OEM dynamics, or EV and mobility research., • Background in SaaS, AI, or technology-enabled services that drive strategic business decisions., • Experience managing global or multi-market client portfolios., • History of success in high-growth or startup environments where playbooks are still being written.Perks & Benefits: Upon joining the Knit team, you will receive: • Competitive Salary + Commission (for applicable roles), • Equity Options, • Healthcare (Medical, Dental, and Vision), • Additional Coverage, • Company Laptop, • One-time Onboarding Technology Stipend, • 401(k) with Company Match, • Flexible Time-Off, • Hybrid Working, • and more...Our Company ValuesWe are the Championship Team. This means we:Are 1% Better Every Day We approach situations with a growth mindset and ask "How can we make the business better?" and "What would it take?" Play to Win We set audacious goals and push ourselves to achieve them with a bias towards action. When we see a need, we take initiative, and hold ourselves accountable to seeing it through. Keep the Main Thing the Main Thing Identify what has the biggest impact and prioritize focusing on it. Knit Privacy Policy here. CCPA disclosure here.

The Enterprise Market Development Representative (Enterprise MDR) will generate new business through outbound calls and targeted emails to potential clients. The Enterprise MDR qualifies prospective customers through targeted questions about their business strategy and then leverages this information to align and sell Docusign's product offerings. This position spends roughly 80% of the time on the phone prospecting new clients. Enterprise MDRs will receive hands-on training with an emphasis on strategic selling and a focus on researching targeted accounts. This position is a great way for individuals to gain in-depth experience in a rapidly growing SaaS company. This position is an individual contributor role reporting to the Manager, Enterprise MDR. Responsibilities include: • Making outbound calls to prospects who reside in one of Docusign's core vertical markets, offering tailored solutions to solve and improve business process problems, • Scheduling appointments between prospects and our Account Executives across SMB, Mid-Market or Enterprise verticals, • Using CRM strategically to record information and identify further opportunities in your assigned territory, • Working closely with marketing to create email and LinkedIn campaigns to increase company and personal brand awareness Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. Basic requirements include: • BA/BS degree or equivalent sales related experience, • 1+ year of experience in a client or customer facing role Preferred requirements include: • Prior experience in the SaaS industry, • Driven, enthusiastic and hard-working nature, • Ability to form strong business relationships, • Excellent verbal and written communication skills 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. Based on applicable legislation, the below details pay ranges in the following locations: Washington, Maryland, New Jersey and New York (including NYC metro area): $24.00/hour - $34.30/hour This role is also eligible for the following: • Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. Global benefits provide options for the following: • Paid Time Off: earned time off, as well as paid company holidays based on region, • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement, • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment, • Retirement Plans: select retirement and pension programs with potential for employer contributions, • Learning and Development: options for coaching, online courses and education reimbursements, • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

Job Description Who We're Looking For Role: Client Partner – Retail, CPG & Pharma Team: Sales Vertical: Retail, CPG & Pharma Reports To: Managing Client Partner – Retail, CPG & Pharma Supervisory Responsibility: This role does not currently have direct reports. Ideal Start Date: February 1, 2027. Location: We are a remote-first company but we prioritize candidates in New York City, Chicago, San Francisco, LA, Boston, Seattle or Philadelphia given the customer requirements of this role. We have office spaces available in all of our hubs. Travel: This role will travel as needed for in-person customer meetings and industry conferences. Note, Knit does US All Team, in-person company events 2x per year. Salary Range: $120K - $160K base (50% base / variable) A Little About Us... Knit is the AI-native research agency. We help the world's most iconic brands make confident decisions through deep customer understanding. Knit pairs our AI-native tooling with world-class researchers to run quant and qual at scale - delivering executive, decision-ready insights to inform billion dollar decisions. Teams at Amazon, Mars, T-Mobile, Paramount, McCormick, Nestle, Medtronic and 100+ others trust Knit to bring real customer voices into their biggest decisions. Knit recently closed its Series B, raising $60M+ to date. Our team of ~80 is US remote friendly, with headquarters in our NYC midtown office. Our team is built with operating talent from Kantar, Ipsos, Deloitte, and unicorn startups. Come build with us! Overview The Client Partner – Retail, CPG & Pharma will play a critical role in driving Knit's growth in the Retail, CPG & Pharma vertical by managing and expanding our largest enterprise partnerships while also building relationships with new high-potential accounts. You'll own a portfolio of 10–20 enterprise accounts across retail, consumer packaged goods (CPG), and pharma/healthcare (some existing, some new) with the mandate to retain, grow, and strategically expand them across brands, categories, and markets. These are organizations with large brand portfolios and complex category, commercial, and regulatory considerations, where insights teams drive decisions from shelf to patient. Acting as the commercial quarterback, you'll lead renewals, upsells, and cross-sells while prospecting into new divisions and organizations to grow your book of business. You'll join a team that's building something category-defining, and you'll help shape how some of the world's most respected brands uncover and activate insights through AI-native research. This is a high-impact, consultative sales role that blends strategic relationship management with commercial ownership. You'll collaborate closely with Customer Success, Research, and Product to ensure clients are realizing value while uncovering new ways Knit can help them succeed. Primary Responsibilities • Own and grow a portfolio of 10–20 enterprise accounts in Retail, CPG & Pharma, including both existing clients and targeted net-new logos., • Drive renewals and expansion, ensuring every partnership grows in scope, scale, and value year over year., • Uncover and pursue new opportunities within existing and prospective accounts—identifying new business units, teams, and use cases where Knit's platform can deliver value, such as shopper journey and path-to-purchase, packaging and claims testing, assortment and category strategy, innovation pipelines, brand positioning, and patient and HCP (healthcare professional) research. Act as a strategic advisor to senior Consumer & Shopper Insights, Category Management, Brand, Commercial Insights, and Market Research leaders, helping them expand how they use Knit's AI-native platform across teams and business challenges. • Develop and execute account plans that identify whitespace, prioritize client goals, map key stakeholders, and drive consistent revenue growth., • Lead commercial negotiations—owning renewals, upsells, and cross-sells in collaboration with Sales Leadership, • Collaborate deeply with Customer Success, Research, and Product to ensure clients realize full value from Knit today - and evolve alongside our platform as new capabilities emerge, • Represent Knit externally at Retail, CPG & Pharma conferences, client summits, and industry events, strengthening brand visibility and deepening client relationships., • Maintain high standards for pipeline integrity, forecasting accuracy, and documentation across every stage of the renewal and expansion process.What Success Looks Like You'll be measured primarily by: • Net-New Revenue: Securing new enterprise partnerships and expanding Knit's presence across target Retail, CPG & Pharma accounts., • Net Revenue Retention (NRR): Expanding overall revenue within your account portfolio through renewals, upsells, and cross-sells, • Renewal Rate: Consistently securing on-time, value-driven renewals., • Sales Excellence: Managing disciplined account plans, accurate forecasts, and clear collaboration across internal teams.What You'll Own & Who You Are... A successful candidate for this role has deep experience managing strategic enterprise accounts in Retail, CPG & Pharma, particularly within the Insights, Analytics, or Marketing ecosystem. This role is ideal for someone who thrives in consultative selling, complex relationship management, and commercial ownership. Required: • 7+ years of experience in enterprise account management, client partnerships, or strategic sales in the research and insights industry, • Direct experience selling into and growing accounts at retailers, CPG manufacturers, and/or pharmaceutical or healthcare companies, with a working understanding of how insights teams in these industries support Brand, Category, and Commercial teams, • Experience autonomously owning and leading customer relationships and entering new buying centers within existing Enterprise accounts, • We are specifically looking for individuals who have supported clients at Fortune 500 companies, with Insights titles (including but not limited to Chief Research/Insights Officers, VP, director-level and above), • Experience selling $100K+ contracts to clients at Fortune 500 companies and managing $1M+ Enterprise relationships, • Proven success managing Fortune 500 clients with multi-business-unit complexity., • Consistent track record of hitting or exceeding growth, renewal, or NRR targets., • Experience leading commercial negotiations for six- and seven-figure contracts., • Consultative, discovery-led approach with exceptional listening and problem-solving skills., • Highly organized, with disciplined pipeline and account management., • Strong collaboration skills; you are adept at leading cross-functional teams across Customer Success, Research, and Product., • A builder's mindset; you are comfortable navigating ambiguity and energized by shaping processes as we scale. Nice to Haves: • Experience selling to pharma commercial/market research teams, including familiarity with HCP and patient research and compliance considerations (e.g., adverse event reporting, MLR review)., • Familiarity with retailer–manufacturer dynamics, category management, or retail media., • Background in SaaS, AI, or technology-enabled services that drive strategic business decisions., • Experience managing global or multi-market client portfolios., • History of success in high-growth or startup environments where playbooks are still being written.Perks & Benefits: Upon joining the Knit team, you will receive: • Competitive Salary + Commission (for applicable roles), • Equity Options, • Healthcare (Medical, Dental, and Vision), • Additional Coverage, • Company Laptop, • One-time Onboarding Technology Stipend, • 401(k) with Company Match, • Flexible Time-Off, • Hybrid Working, • and more...Our Company ValuesWe are the Championship Team. This means we:Are 1% Better Every Day We approach situations with a growth mindset and ask "How can we make the business better?" and "What would it take?" Play to Win We set audacious goals and push ourselves to achieve them with a bias towards action. When we see a need, we take initiative, and hold ourselves accountable to seeing it through. Keep the Main Thing the Main Thing Identify what has the biggest impact and prioritize focusing on it. Knit Privacy Policy here. CCPA disclosure here.

Salary: $100,000 - $130,000 per year A bit about us: Senior Accountant – High-Growth Hardware & SaaS Infrastructure Location: Remote (SF Bay Area, NYC, or Seattle) Industry: Next-Gen Tech / AI & Edge Computing Infrastructure Employment Type: Full-Time About the Role We are seeking a technically st

Job DescriptionAbout Us Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up. Our mission is to improve people's health by making it easy to live a healthy lifestyle. Nourish is the country's largest dietitian-led metabolic health clinic. We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems. In 2026 we raised a $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners. Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast. This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we're solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it. About the Role Reporting directly to our Senior Manager, Provider Network Strategy, the Licensing Lead will own day-to-day execution for our Licensing New Bets pod. You will translate licensing strategy into a clear operating plan, and oversee the virtual-assistant capacity supporting your workflows. Licensing is an upstream driver of provider supply, credentialing, and risk reduction. You will build scalable licensing workflows for new provider types, bring work in-house where appropriate, improve speed and provider experience, and ensure accurate, compliant execution as Nourish grows toward 25,000+ providers. This role is full-time and open to NYC-based or remote candidates. Key Responsibilities: • Develop, and support a pod of New Bets Licensing Associates or Senior Associates, setting priorities, clarifying ownership and deadlines, reviewing work quality, giving direct feedback, and holding the team accountable for outcomes., • Direct virtual-assistant capacity supporting licensing workflows, including work allocation, training, quality assurance, and performance monitoring., • Own complex licensing programs end to end, from state and provider-type requirements research through provider instructions, application submission, status tracking, issue resolution, renewals, and reporting., • Build and maintain clear SOPs, operating cadences, quality controls, documentation standards, escalation paths, and audit-ready records for new and existing licensing workflows., • Use metrics to manage capacity, throughput, timeliness, quality, provider experience, and execution risk; identify gaps early and lead practical improvement plans., • Investigate ambiguous state-board, provider, or operational issues using data and primary sources; make sound tradeoffs across speed, compliance, provider experience, business impact, and cost., • Design scalable workflows and recommend tooling, automation, and ownership improvements in partnership with Credentialing, Product, Engineering, Payer Ops, Finance, RCM, Clinical Ops, and Customer Experience., • Evaluate where work should be brought in-house or supported by external partners, then implement the operating model and controls required for reliable execution., • Serve as the day-to-day escalation point for the area you own, resolving blockers independently and escalating material risks with clear recommendations., • Communicate decisions, owners, deadlines, risks, and next steps clearly to team members, leaders, providers, state boards, external partners, and cross-functional stakeholders., • Build team capability by coaching associates into stronger owners and future leaders while ensuring reliable delivery against goals.We'd love to hear from you if:, • You have approximately 5–9 years of experience in provider licensing, provider operations, healthcare operations, or a closely related field., • You have meaningful licensing domain depth, including state licensing requirements, application and renewal processes for Medical Doctors, Nurse Practitioners, and Therapists., • You have demonstrated people-leadership experience, including setting priorities, directing work, giving feedback, managing performance, and developing team members., • You have owned complex operational programs with rigorous quality, compliance, documentation, and deadline requirements., • You use metrics to manage capacity, throughput, quality, timeliness, and execution risk., • You are a strong written and verbal communicator who can simplify complex regulatory or operational issues for different audiences., • You are tech-savvy and have experience improving processes through tooling, automation, or partnership with Product and Engineering., • You are flexible, adaptable, and effective in fast-changing conditions., • A bachelor's degree is strongly preferred but not required.More Information The Nourish Bar Our Values Why Nourish Exists How We Work Comp Philosophy Benefits Please note that you must be legally authorized to work in the U.S. for this position.

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