Bilingual Annotator, Uzbek

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 Uzbek 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.

Latin and Cyrillic script, plus the Russian bleed common in everyday 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 Uzbek text or audio against a project rubric
• Judge whether Uzbek 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 need from you

• Native or near-native Uzbek
• 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 Uzbek linguistics, translation or teaching
• Familiarity with a specific regional variety and its differences
• Previous annotation, transcription, moderation or research experience
• Comfort with spreadsheets or annotation tooling
• A subject you know unusually well, whatever it is