Data Labeller
The labelling task involves annotating egocentric (first-person) video, image, and multimodal data to train AI models for physical, real-world tasks. Annotators perform dense labelling, identifying and segmenting specific, chronological hand-object interactions, ensuring high precision in actions and timestamps.