AI Data Auditor
- Audited annotated data for accuracy, consistency, and strict guideline adherence.
- Identified labeling errors, edge cases, and inconsistencies; delivered clear, actionable feedback.
- Validated text and document data used for training and evaluating ML models.
- Maintained high quality standards while working independently in a remote setup.
- Provided feedback to raters to improve data quality