Image/Video Annotator at Atlas Capture
ImageClassification
Performed detailed image and video dataset annotation and review to support machine learning model training. Accurately identified and labeled visual elements such as objects, activities, environments, and emotional cues while meticulously adhering to established annotation guidelines. Analyzed video sequences to capture transitions, interactions, and contextual relationships, validating AI-generated outputs for accuracy and relevance. • Labeled objects and actions within image and video content
• Ensured consistency and high-quality data for AI model development
• Conducted quality assurance on annotated datasets
• Reviewed and validated AI output for structural relevance and accuracy
Performed detailed image and video dataset annotation and review to support machine learning model training. Accurately identified and labeled visual elements such as objects, activities, environments, and emotional cues while meticulously adhering to established annotation guidelines. Analyzed video sequences to capture transitions, interactions, and contextual relationships, validating AI-generated outputs for accuracy and relevance. • Labeled objects and actions within image and video content • Ensured consistency and high-quality data for AI model development • Conducted quality assurance on annotated datasets • Reviewed and validated AI output for structural relevance and accuracy
Present