AI Data Labeling & Annotation Contributor (Structured Data Review & Quality Checking)
Contributed to structured data review and output validation by checking system responses against predefined rules and expected formats. Identified mismatches and ensured correctness, consistency, and compliance with annotation guidelines for AI training tasks. Performed logic-based evaluations on structured inputs, with attention to edge cases and completeness requirements. • Validated accuracy and consistency of structured outputs • Detected errors and rule violations in dataset records • Ensured outputs followed required formats and constraints • Reviewed logs/records for incorrect values and edge cases