Video Data Annotator (Atlas Capture | Remote)
Other
Video
Action Recognition
VideoAction RecognitionAnnotated and reviewed video datasets used for training AI models with a focus on accurate, guideline-compliant labels. Labeled human activities, movements, and objects within video episodes to support multimodal learning and model training. Performed quality assurance checks to detect discrepancies and maintain consistency across the dataset. • Labeled activities, movements, and objects in video episodes. • Performed quality assurance checks to flag and correct inconsistencies. • Followed detailed annotation guidelines for accuracy. • Supported AI development through accurate data processing and task review.
2026 - Present