Video & Text Data Annotator
As a Video & Text Data Annotator at Sureform, I annotated and evaluated short and long-form video content and associated textual data for AI model training. I systematically identified visual elements, transcribed on-screen text, and applied standardized timestamps. I ensured high-quality outputs meeting detailed project guidelines with minimal rework required. • Reviewed and labeled video and text data for AI training and assessment purposes. • Applied structured annotation protocols, including accurate timestamping. • Demonstrated consistent quality assurance and guideline compliance. • Achieved multiple project sign-offs and positive feedback from quality audits.