Video Annotation & Multimodal Data Labeling
Annotated and reviewed video datasets for AI training, focusing on object detection, action recognition, and video classification tasks. Labeled moving objects across frames, identified actions and events, and evaluated video content for accuracy and consistency according to detailed project guidelines. Performed quality checks on annotated videos, corrected labeling errors, and ensured alignment with frame-level instructions. Worked with multimodal datasets combining video and text instructions, maintaining high precision while handling large volumes of data under strict quality standards.