AI Operation - Data Annotation
Performed quality checks and validation on annotated datasets to ensure consistency, reliability, and compliance with guidelines. • Reviewed annotations for accuracy, completeness, and policy adherence • Identified and corrected labeling inconsistencies • Improved dataset quality through structured QA processes • Supported reduction of annotation errors and increased model performance