Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Quality 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 DetailsJob Title: Data Labeling AssociateHiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $34/hourContract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoEvaluate AI model outputs and provide structured, high-quality feedbackPerform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modesApply guidelines thoughtfully — and flag when they don’t reflect real-world scenariosContribute to improving evaluation frameworks, not just executing themIdentify trends in model performance and communicate insights clearlyParticipate in team discussions, calibrations, and stakeholder syncsPartner with leads and cross-functional teams to refine quality standardsDocument findings in a clear, concise, and actionable wayWhat We're Looking ForNative-level language proficiency and a university degree (Bachelor’s or higher).B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skillsAbility to apply complex writing rules and guidelines consistentlyStrong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experienceStrong critical thinking and attention to detailAbility to make sound judgment calls in ambiguous situationsNaturally curious about AI, technology, and how systems behaveComfortable speaking up, asking questions, and contributing ideasStrong written and verbal communication skillsAbility to stay consistent while working with evolving guidelinesExperience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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 parksCommuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Read LessWelo 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 DetailsJob Title: Data Quality AnalystHiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $38/hourContract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoSupport quality and execution across DLA teams, ensuring work meets defined standards at scaleAudit DLA outputs and provide structured, actionable feedback to improve accuracy and consistencyAct as the first line of support for DLAs — answering questions and helping interpret guidelinesHelp DLAs navigate ambiguity and apply evolving instructions effectivelySupport onboarding and training of new DLAs through hands-on guidance and coachingMonitor workflows, queues, and blockers — escalating risks and gaps to Team LeadsIdentify patterns, recurring issues, and edge cases in both human and model outputsParticipate in calibrations, team discussions, and stakeholder syncsContribute to improving guidelines, processes, and overall team performanceDocument findings and feedback in a clear, concise, and actionable wayWhat We're Looking ForNative-level French proficiency and a university degree (Bachelor’s or higher).2–4 years of experience in data annotation, content quality, QA, or related fieldsStrong ability to interpret and apply complex guidelines with consistencyExcellent attention to detail with a high bar for qualityAbility to stay consistent while working with evolving guidelines and prioritiesExperience in AI/ML data workflows or human-in-the-loop evaluation environmentsPrior experience auditing or reviewing the work of othersFamiliarity with safety, compliance, or policy-driven content evaluationBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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 parksCommuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Read LessWelo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Quality 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 DetailsJob Title: Data Labeling AssociateHiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $34/hourContract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoEvaluate AI model outputs and provide structured, high-quality feedbackPerform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modesApply guidelines thoughtfully — and flag when they don’t reflect real-world scenariosContribute to improving evaluation frameworks, not just executing themIdentify trends in model performance and communicate insights clearlyParticipate in team discussions, calibrations, and stakeholder syncsPartner with leads and cross-functional teams to refine quality standardsDocument findings in a clear, concise, and actionable wayWhat We're Looking ForNative-level language proficiency and a university degree (Bachelor’s or higher).B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skillsAbility to apply complex writing rules and guidelines consistentlyStrong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experienceStrong critical thinking and attention to detailAbility to make sound judgment calls in ambiguous situationsNaturally curious about AI, technology, and how systems behaveComfortable speaking up, asking questions, and contributing ideasStrong written and verbal communication skillsAbility to stay consistent while working with evolving guidelinesExperience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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 parksCommuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Read LessThis opportunity is only available to candidates currently residing in the following U.S. states: Alabama, Colorado, Delaware, Florida, Georgia, Indiana, Kansas, Kentucky, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia, and Wisconsin.
Overview
Help shape how AI talks about TV and film.
We’re looking for writers with genuine entertainment fluency — people who actually watch anime, K-drama, dark comedy, atmospheric horror, and family cinema, and can write about it in a polished, on-brand voice.
You’ll work from home on a flexible schedule.
What you will do
Write short-form content about TV shows, films, and entertainment titles in a defined brand voiceRewrite AI-generated entertainment copy so it sounds natural, accurate, and tonally right for the genreResearch plot details, cast, episodes, and cultural context to keep every line factually correctMatch tone to the title — a horror logline shouldn’t read like a rom-com summaryFlag AI responses that miss genre conventions, get facts wrong, or feel off in voiceProject details
Start date: ImmediateDuration: OngoingHours: ~20 hours per week, flexible scheduleJob type: Freelance contractLocation: Remote, US-basedRate: $40/hWho we are looking for
A real writer — short-form copy, editorial, brand, fiction, screenwriting, or published reviews. Not “writing-adjacent” work. A portfolio link, clippings, Substack, or published samples should accompany your application.Genuine entertainment fluency — If you can tell us, off the top of your head, the difference between isekai and shōnen, name a comedian whose set you’d recommend to a friend, or explain why a K-drama like Destined With You works, you’re the right person.Native or near-native conversational US English, with strong control of tone, grammar, and register.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 DetailsJob Title: Data Labeling AnalystHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoExecute high-volume data labeling and annotation tasks across speech and voice datasetsFollow detailed guidelines to ensure consistency, accuracy, and data integrity at scaleWork with audio and language data, including transcription, categorization, and taggingMaintain strong throughput while meeting quality expectationsEscalate unclear or ambiguous cases appropriatelyAdapt to evolving guidelines and workflows as systems and requirements changeSupport baseline data production needs for AI training pipelinesContribute to team calibrations and quality alignment sessionsWhat We're Looking ForNative-level fluency in CroatianStrong written communication skills and language fundamentals1 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 consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plusBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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
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 DetailsJob Title: Data Labeling AnalystHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoExecute high-volume data labeling and annotation tasks across speech and voice datasetsFollow detailed guidelines to ensure consistency, accuracy, and data integrity at scaleWork with audio and language data, including transcription, categorization, and taggingMaintain strong throughput while meeting quality expectationsEscalate unclear or ambiguous cases appropriatelyAdapt to evolving guidelines and workflows as systems and requirements changeSupport baseline data production needs for AI training pipelinesContribute to team calibrations and quality alignment sessionsWhat We're Looking ForNative-level fluency in CroatianStrong written communication skills and language fundamentals1 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 consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plusBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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
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 DetailsJob Title: Data Labeling AnalystHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoExecute high-volume data labeling and annotation tasks across speech and voice datasetsFollow detailed guidelines to ensure consistency, accuracy, and data integrity at scaleWork with audio and language data, including transcription, categorization, and taggingMaintain strong throughput while meeting quality expectationsEscalate unclear or ambiguous cases appropriatelyAdapt to evolving guidelines and workflows as systems and requirements changeSupport baseline data production needs for AI training pipelinesContribute to team calibrations and quality alignment sessionsWhat We're Looking ForNative-level fluency in CroatianStrong written communication skills and language fundamentals1 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 consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plusBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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
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 DetailsJob Title: Data Quality AnalystHiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $38/hourContract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoSupport quality and execution across DLA teams, ensuring work meets defined standards at scaleAudit DLA outputs and provide structured, actionable feedback to improve accuracy and consistencyAct as the first line of support for DLAs — answering questions and helping interpret guidelinesHelp DLAs navigate ambiguity and apply evolving instructions effectivelySupport onboarding and training of new DLAs through hands-on guidance and coachingMonitor workflows, queues, and blockers — escalating risks and gaps to Team LeadsIdentify patterns, recurring issues, and edge cases in both human and model outputsParticipate in calibrations, team discussions, and stakeholder syncsContribute to improving guidelines, processes, and overall team performanceDocument findings and feedback in a clear, concise, and actionable wayWhat We're Looking ForNative-level French proficiency and a university degree (Bachelor’s or higher).2–4 years of experience in data annotation, content quality, QA, or related fieldsStrong ability to interpret and apply complex guidelines with consistencyExcellent attention to detail with a high bar for qualityAbility to stay consistent while working with evolving guidelines and prioritiesExperience in AI/ML data workflows or human-in-the-loop evaluation environmentsPrior experience auditing or reviewing the work of othersFamiliarity with safety, compliance, or policy-driven content evaluationBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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 parksCommuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Read LessWelo 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 DetailsJob Title: Data Labeling AnalystHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoExecute high-volume data labeling and annotation tasks across speech and voice datasetsFollow detailed guidelines to ensure consistency, accuracy, and data integrity at scaleWork with audio and language data, including transcription, categorization, and taggingMaintain strong throughput while meeting quality expectationsEscalate unclear or ambiguous cases appropriatelyAdapt to evolving guidelines and workflows as systems and requirements changeSupport baseline data production needs for AI training pipelinesContribute to team calibrations and quality alignment sessionsWhat We're Looking ForNative-level fluency in CroatianStrong written communication skills and language fundamentals1 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 consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plusBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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
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 DetailsJob Title: Data Labeling AnalystHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll DoExecute high-volume data labeling and annotation tasks across speech and voice datasetsFollow detailed guidelines to ensure consistency, accuracy, and data integrity at scaleWork with audio and language data, including transcription, categorization, and taggingMaintain strong throughput while meeting quality expectationsEscalate unclear or ambiguous cases appropriatelyAdapt to evolving guidelines and workflows as systems and requirements changeSupport baseline data production needs for AI training pipelinesContribute to team calibrations and quality alignment sessionsWhat We're Looking ForNative-level fluency in CroatianStrong written communication skills and language fundamentals1 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 consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plusBenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional 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
