Location: Australia (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. The recordings will be used for model training.
WHAT YOU’LL DELIVER
- Voice Samples
- Voice qualities of interest:
- Bright
- Sultry
- ASMR / soft intimate delivery
- Expressive delivery (not monotone), conversational style
- Voice persona: friendly, empathetic, attentive and helpful
- Voice profile:
- Flawless diction and articulation.
- Consistent quality
- Stable rhythm and tempo
- Controlled pitch and amplitude
- Correct diction and articulation
QUALIFICATIONS
- Must be native speaker of the target locale: AUSTRALIAN ENGLISH
- Experience with voice acting, narration, podcasting, or streaming
- Access to a professional or high-quality home recording setup
- Recording software
- Microphone
- Headset/speakers
- Audio Interface
- Professional Digital Audio Workstation, software, plugins
- Treated space, quiet environment, free from background noise, music, clicks, muffling, etc.
- Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.)
- Able to provide demo, sample recordings, voiceover samples
- Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged
- Open to licensing your voice for AI voice cloning / TTS training
- Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
What to Consider Before Applying
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V.
Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc.
Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: UK (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Ireland (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: UK (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects.
In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
WHAT YOU’LL DELIVER
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards
QUALIFICATIONS
- Native fluency in the target language
- Experience as AI reviewer, annotator, or evaluator preferred
- Comfortable working with both textual and audio/video materials
- Ability to follow detailed guidelines consistently and provide clear feedback
- High attention to detail and ability to thoroughly and accurately categorize content
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C.
Workplace: onsite
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 way
What 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 evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
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 way
What 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 evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
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 way
What 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 evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
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 way
What 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 evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
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 way
What 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 evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA
Workplace: onsite
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 way
What 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 evaluation
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
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 way
What 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 required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
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 way
What We’re Looking For
Native-level German 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 required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
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 way
What We’re Looking For
Native-level French 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 required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
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.
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.
Location: China (Remote); Taiwan (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: USA (Remote); Washington (Remote); New York, NY (Remote); Massachusetts (Remote); Indiana (Remote)
Workplace: Remote
The Production Team at LILT:
LILT’s Production Team is a global workforce, operating across four continents. We are passionate about localization and making information accessible to all. The Team spans project management, program management, quality, and talent management, working with some of the world’s largest organizations.
Working in LILT’s Production Team you will have access to leading tools, collaborative teammates, and opportunities to make a real impact.
What You’ll Do:
The Project Manager, Production ensures successful production execution across a portfolio of Life Science accounts. This role is a fundamental component of the production life cycle, ensuring projects are delivered on-time, on budget and to accepted quality standards. The Project Manager, Production will have customer facing production duties as well as internal responsibility to delegate project coordination and administrative work to teams of Production Coordinators.
Key Responsibilities:
- Able to complete project management tasks autonomously
- Responsible for maintaining resources, core teams and pipeline to support project management work
- Responsiveness to internal and external comms within pre-defined SLAs
- Risk analysis to identify risks, potential issues, plan to and mitigate them
- Able to define and delegate admin work to PCs Interns
- Able to take responsibility for end to end project deliverables in accordance with SLAs
- Effectively balances and manages priorities across a variety of task types and customers
- Establishes deadlines /ensures deadlines are feasible and completes tasks by said deadlines
- Escalates issues or problems to manager in an effective manner, along with proposed solutions
- Asks pertinent questions to ensure full comprehension of the task in hand; Strictly follows Production SOPs and best practices. Responsible for CM, Quality and OTD KPIs.
- Manage the end to end project management workflow
- Ensure all projects are delivered on time as per customer SLA
- Manage quality at project level - including Review, Verification, QA, LQE
- Responds quickly and efficiently to internal and external stakeholders
- Ensure all system admin, including data entry, is accurate
- Process and approves invoicing and payments
- Perform file analysis and engages with Solutions team for support on file types
- Creates and monitors linguistic assets (TM, Style Guides, reference material)
- Demonstrates a deep understanding of all production workflows and processes related to their accounts
- Utilize systems and tools released by Production Enablement
- Train supporting resources on key production processes and methodology
- Develop and maintain process documentation related to their task load and the tasks delegated to other resources.
- Consistently follow correct protocols for tasks and accounts.
- Monitor and enforce adherence to correct production procedures
- Provides insight to Strategist into revenue forecasts based on production volume
- Manage quality complaints and feedback received from stakeholders
- Raise Customer Support tickets for 100% of production blockers (Jira)
- Identifies resource requirements for production work
- Performs self-sourcing in our existing vendor database and enters sourcing requests when new vendors are needed
- Completes ongoing risk assessment and mitigation for all production areas.
- Manage linguist communication for all projects
Skills and Experience:
- A Bachelor’s degree, or equivalent; Master’s degree preferred
- 2+ years of proven project management experience in clinical trials localization preferred
- Excellent client-facing and internal communication skills
- Solid organizational skills including meticulous attention to detail and multitasking skills
- Able to meet deadlines and work under pressure
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Remote
Workplace: remote
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Welo Data is looking for a Content Operations Specialist (Digital Books Content) to support ongoing content curation, metadata quality, and platform integrity initiatives.
In this role, you will be responsible for executing daily and advanced curation tasks across written and audio content, identifying and reporting issues, and ensuring high-quality standards in alignment with client guidelines.
Project Details:
Type of Employment: W-2 employee (eligible for benefits based on hours worked)
Project Duration: 12 Months (Possible Extension)
Working Hours / Schedule: Monday to Friday, 9:00 am – 5:30 pm PST (40 hours per week)
Location: Remote in the US
Pay rate: $23/ hour
The successful candidate must have a valid work authorization for the United States. Welocalize does not provide visa sponsorship for this role.
Key Responsibilities
Execute and optimize daily and advanced content curation tasks across written publications and audio content.
Write and report relevant bugs and errors using best practices through internal database systems.
Manage escalations related to metadata, content integrity, and platform quality.
Prioritize tasks and issues quickly and efficiently.
Balance workloads across a distributed team to ensure coverage.
Develop and maintain standard operating procedures (SOPs), workflow guides, and training materials.
Identify process gaps and implement improvements to increase efficiency and reduce error rates.
Adhere to project-specific quality standards as defined by client guidelines.
Complete assigned tasks accurately and within established timelines.
Requirements
Ability to work from home in a secure environment.
Native-level or fully bilingual fluency (spoken and written) in
Portuguese and English
.
Strong native-language skills and cultural awareness of the relevant country/region.
Highly organized with strong attention to detail and commitment to quality.
Proficiency with Microsoft Office applications (Outlook, Word, Excel, PowerPoint).
Ability to navigate networks and websites using different browsers.
Willingness to work with content that may be sensitive or offensive in nature.
Key Competencies
Strong company and industry awareness.
Excellent problem-solving skills with the ability to identify optimal solutions.
Strong time management and prioritization skills.
Familiarity with a
Plan–Do–Check–Act
approach to tasks and workflows.
High sense of ownership and accountability for deliverables.
Self-motivated and comfortable handling repetitive tasks.
Tech-savvy, with the ability to quickly learn and adapt to new tools and systems.
If you are detail-oriented, quality-driven, and passionate about digital content operations, we encourage you to apply.
Join Welo Data and be part of a global team supporting high-impact digital content initiatives while working in a collaborative and fast-paced environment.
Location: Barcelona, Spain; Romania; Thessaloniki, Greece; Italy
Workplace: remote
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
Overview
The Quality Manager is the squad team member on a squad (s) responsible for supplier alignment and supplier performance on accounts owned by that squad. Performance includes, but is not limited to, on-time delivery, adherence to all client and project specific requirements, and defect-free deliverables. The role is managing service delivery quality to the client or managing tasks or initiatives. This role is responsible for engaging with the customer to understand capacity requirements and quality expectations and liaising with Language Services to ensure such requirements can be met. As part of ensuring adequate performance, the Quality Manager will monitor customer Objectives & Key Results (OKRs) and take necessary actions to ensure quality and on-time delivery targets are met.
Main Duties
Strategic Alignment: Partner with Engagement Managers to ensure supplier alignment and coordinate with the Language Services Team on resource recommendations and capacity planning.
Client Relationship Management: Serve as the primary point of contact for language quality, leading client conversations, managing documentation, and presenting regular quality reports.
Performance Monitoring: Track supplier KPIs—including OTD, task acceptance, and linguistic accuracy—flagging and escalating any performance that falls beneath defined client thresholds.
Quality Framework & Asset Management: Design and maintain quality frameworks, ensuring all language assets (glossaries, style guides, and TMs) are updated and optimized.
Corrective Action & Escalation: Act as the escalation point for PMs on missed deliverables; lead Root Cause Analysis (RCA) and oversee Quality Improvement Plans (QIP) or CAPAs in collaboration with Language Services.
SLA Compliance: Execute regular quality measuring and Content Type Analysis to ensure all internal and client-facing LQA SLAs are consistently met.
Process Improvement: Support the development of new internal and customer initiatives by assessing and optimizing current processes to drive efficiency.
Experience
Industry Expertise: Proven track record in Localization Vendor, Language, or Quality Management within fast-paced, client-centric environments.
Experience in CRO-Pharma or Medical Devices would be a plus.
Quality Methodology: Deep understanding of quality principles and practices; experience with Agile or Lean Six Sigma methodologies is preferred.
Technical Proficiency: Expert knowledge of Translation Management Systems (TMS), TM tools, and MTPE workflows, with a keen interest in emerging industry trends.
Data-Driven Problem Solving: Strong data literacy with the ability to leverage analytics for decision-making, risk mitigation, and proactive process improvement.
Communication & Influence: Exceptional verbal and written communication skills in English (multilingualism preferred) with the ability to present structured arguments and influence diverse stakeholders.
Operational Agility: High capacity to manage and prioritize multiple time-sensitive projects independently or as part of a team, while maintaining accountability for quality.
Education: Master’s degree or equivalent professional experience.
Leadership & People Management: Full-cycle supervisory experience in accordance with organizational policy, including hiring, training, and performance management for internal teams and external resources.
Key Competencies
Is a strong listener and effective collaborator.
Results-oriented and understands the importance of Objectives & Key Results (OKRs)
Actively drives performance and delivers results.
Proactively develops clear solutions to complex problems
This role is for you if:
You have experience with quality management in the translation/localization industry (in-house or freelance)
You have worked with Life Sciences localization workflows
Please note that only CVs in English will be considered
Job Reference: #LI-JC1
Location: Argentina (Remote); Global | Remote; Mexico (Remote); India (Remote)
Workplace: Remote
Key Responsibilities:
1. End-to-End Program Delivery & SLA Management
- Manage the end to end project management workflow.
- Able to complete project management tasks autonomously.
- Able to take responsibility for end to end project deliverables in accordance with SLAs.
- Ensure all projects are delivered on time as per customer SLA.
- Establishes deadlines /ensures deadlines are feasible and completes tasks by said deadlines.
- Effectively balances and manages priorities across a variety of task types and customers.
- Responsiveness to internal and external comms within pre-defined SLAs.
- Responds quickly and efficiently to internal and external stakeholders.
2. Resource Strategy & Team Leadership
- Responsible for maintaining resources, core teams and pipeline to support project management work.
- Identifies resource requirements for production work.
- Performs self-sourcing in our existing vendor database and enters sourcing requests when new vendors are needed.
- Manage linguist communication for all projects.
- Able to define and delegate admin work to PCs Interns.
- Train supporting resources on key production processes and methodology.
3. Quality, Risk, & Financial Assurance
- Responsible for CM, Quality and OTD KPIs.
- Manage quality at project level - including Review, Verification, QA, LQE.
- Manage quality complaints and feedback received from stakeholders.
- Risk analysis to identify risks, potential issues, plan to and mitigate them.
- Completes ongoing risk assessment and mitigation for all production areas.
- Escalates issues or problems to manager in an effective manner, along with proposed solutions.
- Raise Customer Support tickets for 100% of production blockers (Jira).
- Process and approves invoicing and payments.
- Provides insight to Strategist into revenue forecasts based on production volume.
4. Technical Execution & Process Governance
- Demonstrates a deep understanding of all production workflows and processes related to their accounts.
- Asks pertinent questions to ensure full comprehension of the task in hand; Strictly follows Production SOPs and best practices.
- Consistently follow correct protocols for tasks and accounts.
- Monitor and enforce adherence to correct production procedures.
- Develop and maintain process documentation related to their task load and the tasks delegated to other resources.
- Utilize systems and tools released by Production Enablement.
- Ensure all system admin, including data entry, is accurate.
- Perform file analysis and engages with Solutions team for support on file types.
- Creates and monitors linguistic assets (TM, Style Guides, reference material).
Skills and Experience:
- A Bachelor’s degree, or equivalent; Master’s degree preferred
- 2+ years of professional experience in a field similar or related to Localization Project Management
- Excellent client-facing and internal communication skills
- Solid organizational skills including meticulous attention to detail and multitasking skills
- Able to meet deadlines and work under pressure
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
УдалённоUK (Remote)
УдалённоIreland (Remote)
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ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; 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
УдалённоChina (Remote); Taiwan (Remote)
УдалённоUSA (Remote); Washington (Remote); New York, NY (Remote); Massachusetts (Remote); Indiana (Remote)