AI Data Annotator (Video Segmentation & Labeling)
I worked as an AI data contributor on a video annotation project focused on human action recognition. My role involved segmenting videos into meaningful action units and labeling each segment using clear, instruction-based formats. I ensured accuracy by following strict annotation guidelines, avoiding assumptions, and labeling only observable actions. Tasks included splitting continuous actions into segments, refining labels for clarity, and maintaining consistency across multiple episodes. I also reviewed my work carefully to minimize errors and improve overall data quality. This project contributed to training AI systems to better understand and interpret real-world human activities.