Photo and video data labeling for AI model training
Worked on AI training projects involving photo and video data labeling for computer vision models. Tasks included annotating, classifying, and reviewing visual content according to strict project guidelines, as well as identifying quality issues and edge cases. Ensured high accuracy and consistency across large datasets while meeting performance and quality benchmarks. The role required strong attention to detail, adherence to annotation standards, and reliable judgment on visual content used to train and improve AI systems.