Data Annotator/ Data analyst
The project involved labeling and annotating large-scale datasets (50,000+ records) to support machine learning model training. Tasks included text, image, and audio annotation; entity, sentiment, and object tagging; and output validation in line with defined guidelines. Quality standards of 95% and above approval rate were consistently achieved, with accuracy targets easily met through my work, supported by regular audits and peer reviews to ensure high data reliability.