AI Data Labeling & Annotation Specialist
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Object DetectionWorked on AI training and data annotation projects focused on improving machine learning model accuracy through detailed labeling, validation, and quality review tasks. Responsibilities included reviewing AI-generated captions, identifying missing actions and object descriptions in videos, classifying text and image data, and ensuring compliance with annotation guidelines. Performed video and image annotation for computer vision projects by identifying human actions, object movements, and environmental details. Conducted text labeling and response evaluation tasks for natural language processing (NLP) models, including sentiment analysis, intent classification, and content quality assessment. Also handled data quality assurance by checking consistency, correcting annotation errors, and maintaining high accuracy standards within project timelines. Demonstrated strong attention to detail, analytical thinking, and the ability to work independently with large datasets across multiple AI training workflows.