For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
Review and assess data outputs against quality standards, identify issues, and close the loop on corrections to ensure accuracy and consistency.
Participate deeply in the assessment and discussion of complex, ambiguous, and edge cases, turning findings into reusable judgment rules and knowledge assets.
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