Lee Atunga

I am a detail-oriented Data Annotation Specialist with over 5 years of hands-on experience in computer vision annotation, image/video labeling, and dataset quality control. I consistently deliver high-volume annotation work with 98%+ accuracy, supporting AI training projects for varied domains including autonomous vehicles.

My day-to-day work has involved using industry annotation platforms such as CVAT, Labelbox, VIA, Supervisely and SRT HALO to produce bounding boxes, polygon segmentation, and keypoint labels, and to perform accuracy auditing, data cleaning and version control. I have trained and onboarded 20+ new annotators, reviewed peer work, and contributed to QA audits and process improvements that increased efficiency.

I bring strong attention to detail, time management, collaboration and adaptability, and a commitment to data privacy compliance and consistent throughput. I am motivated to apply my annotation expertise to help machine learning teams build reliable models from well-prepared datasets.