French Data Quality Analyst (Human-in-the-Loop AI)

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 French 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