AI Data Annotator & Trainer | Uber AI
Performed high-volume text and semantic annotation for AI training tasks including entity recognition, sentiment labeling, and content classification. Validated and cleaned training datasets to ensure consistency and accuracy while reducing bias. Collaborated with distributed annotation teams in asynchronous remote-first workflows. • Applied annotation guidelines to maintain dataset quality. • Conducted dataset validation and error correction to improve labeling reliability. • Ensured labeled outputs matched required schema and classification definitions. • Contributed to iterative dataset improvements for downstream model training.