Bilingual Annotator, French

Annotate and evaluate French language data for model training. European and West African French both in scope, and treated as distinct.

Bilingual annotation is the work of deciding what text or speech actually means, then recording that decision in a form a model can learn from. For French that covers labelling intent and sentiment, checking whether a translation preserves meaning rather than words, transcribing speech accurately, and judging which of two model outputs a native speaker would actually accept.

Both European and West African French, which diverge more than clients expect. Corpshore treats language varieties as distinct rather than flattening them, because a model trained on a flattened dataset fails precisely on the speakers who were flattened.

Corpshore runs annotation, evaluation and data collection for AI teams across 18+ countries in 35+ languages. Work is assigned by qualification and availability, not by location and every task shows its rate before you reserve it.

What you would be doing

• Label and review French text or audio against a project rubric
• Judge whether French model outputs are natural, accurate and appropriate in register
• Flag ambiguous cases rather than guessing, so the rubric can be corrected
• Keep quality steady across long batches, which is harder than it sounds

What we look for

• Native or near-native French
• Strong written English, since rubrics and reviewer feedback are in English
• A reliable internet connection and a device you can work on comfortably
• Ability to follow a written rubric precisely, including its edge cases
• Willingness to have your work reviewed, and to act on that review

Helpful, not required

• Formal training in French linguistics, translation or teaching
• Familiarity with a specific regional variety and its differences