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.
Youll 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
Location:California (On-Site: San Francisco Sunnyvale or 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 Youll 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 Were Looking For
Native-level English (UK CA AU) proficiency and a university degree (Bachelors or higher).
24 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)
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.
OverviewWelo 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.Youll work closely ...
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.
Youll 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
Location:California (On-Site: San Francisco Sunnyvale or 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 Youll 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 Were Looking For
Native-level English (UK CA AU) proficiency and a university degree (Bachelors or higher).
24 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)