Data Annotator
The project involves accurately labeling and tracking objects, actions, and attributes in video data according to strict guidelines and quality standards to produce reliable datasets for training and evaluating computer vision models.
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I am a detail-oriented Computer Science student with hands-on experience in data entry, quality assurance, and information management, making me well-suited for data labeling and AI training data roles. My background includes accurately entering, verifying, and cross-referencing large volumes of data, maintaining spreadsheets and databases, and performing thorough QA checks to ensure data integrity. I am proficient with tools such as Excel, Notion, and Google Workspace, and have experience supporting team operations by generating reports and summaries from processed data. My technical foundation, combined with strong organizational skills and a commitment to data privacy and accuracy, enables me to contribute effectively to projects involving data annotation and preparation for AI and machine learning applications.
The project involves accurately labeling and tracking objects, actions, and attributes in video data according to strict guidelines and quality standards to produce reliable datasets for training and evaluating computer vision models.
Bachelor of Science, Computer Science
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