AI Data Labeling & Annotation (Structured Data & Text)
Hands on experience labeling structured and text-based datasets for AI and analytics use cases. Responsibilities included data classification, tagging, validation, and quality assurance. Applied annotation guidelines, identified edge cases, ensured label consistency, and supported data readiness for machine learning model training while considering bias and data integrity.