Turkish Data Quality Analyst - California based

Welo Data•San Francisco, CA

15h•Onsite

About The Position

Welo Data is seeking an experienced QA professional to join Project Perseus as a Data Quality Analyst. This role is crucial for maintaining a high bar for data integrity and ensuring the accuracy and world-class quality of human feedback for cutting-edge Arabic AI models. The analyst will act as a Quality Gatekeeper, bridging the gap between Data Labeling Associates (DLAs) and Team Leads. Key responsibilities include auditing DLA work, providing structured feedback, offering tactical support for complex linguistic questions and guideline interpretation, leading hands-on training for new associates, monitoring workflow queues, and contributing strategic insights to project guidelines based on patterns in human and model behavior.

Requirements

2–4 years in data annotation, QA, content quality, or human-in-the-loop (HITL) workflows.
Professional-level proficiency in Turkish.
University Degree (Bachelor’s or higher).
B2 level or superior English to handle stakeholder syncs and technical reporting.
Prior experience auditing or reviewing the work of others; you know how to coach without micromanaging.
A high bar for quality and the ability to stay consistent while guidelines shift in real-time.
Familiarity with safety, compliance, or policy-driven evaluation in a GenAI context.

Responsibilities

Audit the work of DLAs, providing structured, actionable feedback to drive team-wide improvement.
Act as the first line of defense for the team—answering complex linguistic questions and interpreting evolving guidelines.
Lead hands-on training for new associates, helping them navigate the nuances of Arabic dialects and AI safety.
Monitor queues and identify blockers, escalating risks to Team Leads before they impact the program.
Spot high-level patterns in both human and model behavior, contributing directly to the evolution of project guidelines.