AI Data Labeling Specialist – Video Segmentation & Annotation
Worked on AI training data projects involving video segmentation and annotation using Atlas Capture. Responsible for accurately labeling video segments by identifying objects, actions, and key frames to support machine learning model training. Ensured high-quality annotations by following detailed guidelines and maintaining consistency across datasets. Demonstrated strong attention to detail, accuracy, and the ability to handle repetitive tasks efficiently. Contributed to improving dataset quality for computer vision applications by organizing and structuring labeled data effectively. Familiar with annotation workflows, quality control processes, and meeting project deadlines in a remote work environment.