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Data Quality Analyst-English Speaker; UK​/Canada​/EU​/Australia dialect

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Welo Data
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, Data Analyst, AI Evaluation
Salary/Wage Range or Industry Benchmark: 38 USD Hourly USD 38.00 HOUR
Job Description & How to Apply Below
Position: Data Quality Analyst-English Speaker(UK/Canada/EU/Australia) dialect

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • 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
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
What We're Looking For
  • Native-level English speaker from an EU10 country, the UK, Canada, or Australia
    and a 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
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