Data / Video Annotator at Atlas Capture (Remote) - AI model training via structured evaluation and annotation
Evaluate AI-generated and real-world images and video clips using structured rating frameworks and detailed guidelines. Assess realism, composition, motion, lighting, and overall production quality while ensuring traceable written justifications for every decision. Incorporate LLM performance feedback into training data creation to improve model outputs and dataset quality. • Annotate temporal sequences, scene transitions, subject-action interactions, and spatial dynamics • Validate AI outputs for correctness, structure, and adherence to defined standards • Provide clear written evaluation justifications for high-volume queues • Contribute to structured datasets for static and dynamic visual understanding