Image Data Labeling & Annotation Specialist for AI Training
ImageBounding Box
Conducted large-scale data labeling and annotation for AI computer vision models. Performed image classification, object detection using bounding boxes, semantic segmentation, and quality assurance on datasets ranging from 10,000 to 50,000+ images. Ensured high accuracy through double-blind labeling and consensus reviews. Worked with diverse image categories including everyday objects, scenes, and custom domains to improve model performance for real-world applications.
Conducted large-scale data labeling and annotation for AI computer vision models. Performed image classification, object detection using bounding boxes, semantic segmentation, and quality assurance on datasets ranging from 10,000 to 50,000+ images. Ensured high accuracy through double-blind labeling and consensus reviews. Worked with diverse image categories including everyday objects, scenes, and custom domains to improve model performance for real-world applications.
2024 - 2026