Video Annotator at Atlas Capture (Remote)
VideoClassification
I performed detailed annotation and labeling of short video clips and images for AI model training. My tasks involved identifying and classifying key visual elements such as subjects, settings, actions, emotions, temporal sequences, and scene transitions. I meticulously followed annotation guidelines to produce high-quality, structured datasets for large multimodal AI models.
• Labeled complex visual cues including mood, lighting, and spatial relationships.
• Validated AI-generated outputs for accuracy, consistency, and relevance.
• Ensured adherence to quality benchmarks in a remote, independent environment.
• Achieved a 97% accuracy rate across over 200 episodes.
I performed detailed annotation and labeling of short video clips and images for AI model training. My tasks involved identifying and classifying key visual elements such as subjects, settings, actions, emotions, temporal sequences, and scene transitions. I meticulously followed annotation guidelines to produce high-quality, structured datasets for large multimodal AI models. • Labeled complex visual cues including mood, lighting, and spatial relationships. • Validated AI-generated outputs for accuracy, consistency, and relevance. • Ensured adherence to quality benchmarks in a remote, independent environment. • Achieved a 97% accuracy rate across over 200 episodes.
2025 - Present