Project Perseus | Data Quality Analyst - Turkish Speakers (Human-in-the-Loop AI)
Welo Global, Sunnyvale, CA, United States
Overview
Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You’ll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title:
Data Quality Analyst
Hiring in:
NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.
Hours:
Full-time, 40 hours per week
Employment Type:
W2 Full-Time Employee
Work Authorization:
Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate:
$38/hour
Contract Duration:
1-year contract with possibility of extension
Important : This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
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: Breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro‑kitchens & Snacks: Offices stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof‑top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike‑to‑work perks.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast‑moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
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.
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Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.
You’ll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.
Project Details
Job Title:
Data Quality Analyst
Hiring in:
NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.
Hours:
Full-time, 40 hours per week
Employment Type:
W2 Full-Time Employee
Work Authorization:
Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate:
$38/hour
Contract Duration:
1-year contract with possibility of extension
Important : This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
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: Breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro‑kitchens & Snacks: Offices stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof‑top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike‑to‑work perks.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast‑moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
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.
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