iFlytek Education AI Training and Labeling Project (Subject education data annotation & verification)
Don't disclose
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Classification
TextClassificationParticipated in iFlytek’s education AI training and labeling to produce high-quality annotated data for subject education models. Worked on building disciplined annotation rules and performing label creation, review, and verification across multiple rounds. Optimized labeling rules to ensure stable label accuracy and consistency for education AI training requirements. • Labeled and verified chemistry question bank data and teaching scenario dialogues • Performed knowledge point classification, question difficulty annotation, and professional terminology annotation • Broke down problem-solving steps and performed knowledge point analysis • Conducted multiple rounds of data review to correct labeling deviations and ensure data consistency
Not specified