Data Quality Analyst - English Speakers (UK, Canadian and/ or Australian variants)

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.

• 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

• →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

• Native-level English (UK, CA, AU)  proficiency 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