Twi Speech & Transcription Contributor

Transcribe short Twi-language audio clips with speaker turns and code-switch tagging. Remote, flexible hours.

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 Twi 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.

Asante and Akuapem Twi, plus the code-switching with English that is normal in real speech. 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 Twi text or audio against a project rubric
• Judge whether Twi 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 Twi
• 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 Twi linguistics, translation or teaching
• Familiarity with a specific regional variety and its differences
• Previous annotation, transcription, moderation or research experience