About The Position
Welo Data is seeking experienced, detail-oriented professionals to join their team as Data Quality Analysts. This role is central to execution and quality, acting as a liaison between Data Labeling Associates (DLAs) and Team Leads to ensure work is completed accurately and to standard. The position involves working with both people and AI systems, auditing outputs, supporting daily tasks, and assisting teams in correctly applying guidelines in dynamic, real-world situations. The role combines data quality, light project coordination, and hands-on training, emphasizing the importance of guiding others and critical thinking alongside individual output.
Requirements
- Native-level English (UK, CA, AU) proficiency
- University degree (Bachelor’s or higher)
- 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
- Must be authorized to work in the U.S. (no visa sponsorship)
- 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.
Responsibilities
- 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
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: 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
