Labeler / Annotator – AI Response Evaluation (French)
Core
Evaluate AI-generated responses in French using side-by-side comparisons to improve model accuracy, relevance, and cultural nuance.
Role type
AI response evaluation labeler (French)
Builds
AI model outputs for Q&A, web search, and file/image generation tasks
Domain
Artificial Intelligence / Natural Language Processing
Deliverable
production ML models
Required skills
French native/professional fluency, English reading comprehension, side-by-side (SBS) labeling experience, analytical thinking, attention to detail, ability to apply structured evaluation frameworks
Preferred skills
Linguistics or translation background, AI evaluation experience, data annotation experience, search relevance analysis experience
Technologies
AI evaluation frameworks, structured annotation guidelines
Responsibilities
Perform side-by-side comparisons of AI-generated responses, evaluate outputs for accuracy/relevance/clarity/instruction-following, identify nuances in tone and cultural context, apply scenario-specific annotation guidelines, maintain consistency in evaluations
Seniority
Individual Contributor, entry-to-mid level