Large-Scale Image & Text Annotation for AI Model Training
Executed a large-scale data annotation project to support AI model training across computer vision and NLP tasks. The project involved annotating 50,000+ images for object detection (bounding boxes, segmentation) and labeling text datasets for sentiment analysis, intent classification, and entity recognition. Established clear annotation guidelines and trained a team of annotators to ensure consistency and high accuracy. Implemented a multi-level quality assurance process, achieving over 98% accuracy across deliverables. Handled data securely with strict NDA compliance, controlled access systems, and monitored environments. Delivered high-quality, structured datasets within timelines, enabling improved model performance and faster deployment for client applications.