AI Data Labeling & Model-Training Support
I provided data annotation and labeling for AI model training, focusing on tasks such as text classification, entity tagging, and document review. My work prioritized high accuracy through structured workflows and continuous adherence to evolving project guidelines. Quality assurance was maintained via spot-checking and consensus review, enhancing label consistency and minimizing bias. • Documented edge cases and escalated ambiguities for resolution. • Used spreadsheets for production tracking and KPI reporting. • Maintained confidentiality and followed bias-aware labeling practices. • Improved accuracy and throughput through process documentation and review.