Turkish Data Quality Analyst - WA based
Quick Summary
The Bridge Between Human Judgment and AI Excellence Are you an experienced QA professional who knows how to mentor others and maintain a high bar for data integrity? Welo Data is seeking Data Quality Analysts for Project Perseus. This isn't just about labeling; you are the Quality Gatekeeper.
Are you an experienced QA professional who knows how to mentor others and maintain a high bar for data integrity? Welo Data is seeking Data Quality Analysts for Project Perseus.
This isn't just about labeling; you are the Quality Gatekeeper. You will bridge the gap between our Data Labeling Associates (DLAs) and Team Leads, ensuring that human feedback for cutting-edge Arabic AI models is not only accurate but world-class.
- Human-to-Human Auditing: Audit the work of DLAs, providing structured, actionable feedback to drive team-wide improvement.
- Tactical Support: Act as the first line of defense for the team—answering complex linguistic questions and interpreting evolving guidelines.
- Onboarding & Coaching: Lead hands-on training for new associates, helping them navigate the nuances of Arabic dialects and AI safety.
- Workflow Orchestration: Monitor queues and identify blockers, escalating risks to Team Leads before they impact the program.
- Strategic Insights: Spot high-level patterns in both human and model behavior, contributing directly to the evolution of project guidelines.
- Employment Type: W2 Full-Time Employee
- Hours: 40 hours/week
- Location: Washington State (On-Site: Redmond, Seattle, or Bellevue)
- Pay Rate: 38 $ (per hour)
- Experience: 2–4 years in data annotation, QA, content quality, or human-in-the-loop (HITL) workflows.
- Linguistic Mastery: Professional-level proficiency in Turkish and a University Degree (Bachelor’s or higher).
- English Fluency: B2 level or superior English to handle stakeholder syncs and technical reporting.
- Leadership Instincts: Prior experience auditing or reviewing the work of others; you know how to coach without micromanaging.
- Detail Obsession: A high bar for quality and the ability to stay consistent while guidelines shift in real-time.
- Safety Mindset: Familiarity with safety, compliance, or policy-driven evaluation in a GenAI context.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- May 6, 2026
Signal breakdown
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