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Assessed and categorized large volumes of video-based data according to algorithmic project guidelines. Performed granular behavioral annotation with timestamped tracking to support computer vision and AI model training. Used pattern recognition and quality-control procedures to flag anomalies and maintain dataset integrity for high-volume benchmarks. • Evaluated, categorized, and documented video-based data per project guidelines • Performed behavioral annotation and timestamped tracking for computer vision use • Flagged anomalies using content evaluation and pattern recognition • Followed strict QC procedures to meet daily high-volume project benchmarks