Dataset labeling and quality review (text)
Labeled and categorized datasets with high accuracy by following strict annotation guidelines. Reviewed and corrected annotation outputs to improve overall dataset quality and reliability. Worked with text datasets in structured and unstructured formats while maintaining precision across high-volume, repetitive annotation workflows. • Dataset labeling and categorization per guideline schemas • Post-label review and correction for quality improvements • Annotation consistency for large volumes and long-duration workflows • Handling structured vs. unstructured text data formats