AI Data Annotator
As an AI Data Annotator at RWS, I labeled, categorized, and annotated large volumes of text, image, audio, and video data to support machine learning model development. I reviewed and validated existing annotations, ensuring consistency, correctness, and adherence to detailed guidelines. I utilized annotation platforms (Labelbox, CVAT, Supervisely, Google Labeling tools) to efficiently complete high-volume tasks while collaborating with data scientists and QA teams. • Maintained strict quality standards, following project instructions and adapting quickly to new guidelines. • Performed detailed data validation and QA checks to ensure high accuracy and completeness. • Identified and flagged data quality issues and ambiguous cases for further review. • Achieved daily and weekly productivity targets in a remote/virtual team environment.