kca university
bachelors in information technology, university
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I have hands-on experience in data annotation and AI training data through multiple remote projects focused on video, text, and image labeling for machine learning workloads. My work has involved applying detailed project guidelines (similar to ATLAS-style action labeling) to segment videos, identify task-relevant hand–object interactions, choose the correct level of granularity, and avoid subjective or speculative language so the resulting datasets are consistent and high-quality for model training. I’m comfortable working with long-form video, dense action sequences, and edge cases where deciding when to split/merge segments or when to use coarse labels
bachelors in information technology, university
data entry