VIDEO LABELLING
Atlas capture video labelling is based on describing the major actions in video segments.
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I am a detail-oriented AI Data Specialist with hands-on experience in data annotation, AI response evaluation, and content categorization for both text and image datasets. My work with platforms like Outlier and Scale AI has honed my ability to deliver highly accurate labeling, maintain over 98% evaluation accuracy, and rigorously adhere to complex rubrics and guidelines. I excel at identifying edge cases, conducting quality audits, and providing clear documentation to improve dataset clarity. Proficient in tools such as Labelbox, Scale Platform, and Appen-style interfaces, I am comfortable working remotely and collaborating via Slack and Teams. My strong communication background and technical skills, including basic Python for text formatting, enable me to contribute effectively to NLP and AI training data projects.
Atlas capture video labelling is based on describing the major actions in video segments.
Bachelor of Arts, Communication Studies
Writing & Documentation Assistant