AI Data Labeling & Annotation Specialist (Computer Vision & NLP Projects)
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RLHFWorked on multiple AI training datasets involving text, image, and audio annotation for machine learning model development. Responsibilities included image labeling using bounding boxes and segmentation for object detection models, text classification and sentiment tagging for NLP systems, and named entity recognition for structured data extraction. Projects involved datasets from e-commerce product categorization, customer support chat analysis, and general-purpose AI assistant training. Ensured high-quality annotations by following strict labeling guidelines, performing cross-validation checks, and maintaining consistency across large datasets (ranging from 10K to 200K+ data samples per project). Collaborated with QA teams to resolve labeling discrepancies and improve annotation accuracy to above 95% agreement rate. Worked under tight deadlines while maintaining data integrity standards required for supervised learning pipelines.