AI Data Annotation Specialist, Canadian French

Large language models handle European French considerably better than Canadian French. Ask one about a subject in Quebec French and the register slips, the vocabulary drifts toward France, and idiom that any Montrealer uses daily is misread. That gap exists because the training data does not exist in sufficient quantity. This programme builds it.

Fully remote anywhere in Canada, flexible hours within an agreed delivery window, minimum twenty-five hours weekly. Corpshore AI is ranked fifth among the top fifty AI outsourcing companies worldwide by Outsource Accelerator.

Annotate and label French text, speech and multimodal data according to detailed project guidelines. Transcribe and verify Canadian French audio, including regional variation and French and English code-switching, which is a specific and underrepresented data type. Evaluate model outputs for linguistic accuracy, register, cultural appropriateness and factual correctness, judging them as a Canadian French speaker rather than against a European standard. Write and correct reference responses in French where the task requires it. Flag guideline ambiguity rather than guessing, because one wrong guess repeated across a thousand items corrupts a dataset. Maintain inter-annotator agreement above the programme threshold.

French at C2, native or near native in Canadian French. Speakers from Quebec, New Brunswick, Ontario and the western francophone communities are all in scope, and regional variation is an asset here rather than a problem. English at B1 or above, enough to work from English-language project guidelines. Genuine care about linguistic precision. Reliable internet and a computer. The discipline to be as careful on item nine hundred as on item nine.

A degree in linguistics, translation, literature, journalism, education or a related field. Prior annotation, transcription, translation or editorial experience. Familiarity with OQLF terminology standards. Knowledge of a third language.

Fully remote and genuinely flexible. Hourly rate that rises with quality tier, so accuracy is rewarded rather than speed alone. Paid training on each programme's guidelines. Work at the front edge of French-language AI, and specifically on the Canadian French that is currently underserved. A strong record of promoting high-performing annotators into reviewer, quality lead and project coordinator roles.