AI Data Annotator | Precision Labeling and Quality-Focused Evaluation
Currently contributing to a video annotation project focused on action recognition and temporal labeling. My role involves reviewing video clips, accurately tagging actions, defining start–end timestamps, and applying “No Action” where appropriate within structured taxonomy guidelines. The dataset includes thousands of real-world video samples, requiring strong attention to detail and edge case handling. I maintain quality through strict guideline adherence, self-review, and consistency checks to ensure high annotation accuracy and strong QA alignment