Large Scale Multimodal Data Annota AI Training Data Collection
Led and executed a comprehensive video data annotation project focused on delivering high-quality training datasets for frontier AI computer vision systems. Scope of Work: Responsible for end-to-end video data collection, annotation and quality assurance. Contributed to building large scale video training data pipelines used by leading AI development teams worldwide. Specific Tasks Performed: Recorded and annotated real-world video footage including desktop workflows, environmental recordings and daily activity documentation Performed detailed video labeling and scene classification for computer vision model development Executed object detection and activity recognition tasks for visual AI systems Annotated video sequences with precise temporal markers and scene descriptions for AI model training Recorded desktop application workflows including document creation, data entry and software navigation for AI training Reviewed and quality-checked submitted video datasets to ensure accuracy, clarity and consistency Followed strict video annotation guidelines and rubrics to maintain high quality output scores Project Size: Completed over 500+ individual video annotation and recording tasks across multiple AI training projects with a consistently high approval and accuracy rate.