Bilingual Annotator, Portuguese
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 Portuguese 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. Brazilian and European Portuguese, kept separate throughout. 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, open to contributors in 200+ countries and 35+ languages. Work is assigned by qualification and availability, not by location and every task shows its rate before you reserve it. Responsibilities: Label and review Portuguese text or audio against a project rubric; Judge whether Portuguese 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. Requirements: Native or near-native Portuguese; 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.
