Freelance Data Annotation Specialist / Independent Data Annotator (Self-Employed)
CVAT
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Object DetectionFreelance data annotation specialist delivering ML-ready telecom computer vision datasets from high-resolution drone and field imagery using CVAT. Performed bounding box, polygon, keypoint, and semantic segmentation annotations for antennas, RRUs, base stations, and structural defects to support object detection and related training needs. Converted and exported labeled datasets into YOLO and COCO formats (plus custom JSON/XML) and maintained high label quality under tight deadlines. • Annotated 10,000+ telecom images in CVAT with high accuracy (99%) for client object-detection models. • Used CVAT interpolation and AI-assisted tools to accelerate video labeling pipelines for drone-based inspection footage by ~30%. • Interpreted complex labeling guidelines with ML teams and resolved edge cases related to image quality and obscured equipment. • Audited and corrected pre-labeled contractor datasets, then transferred data securely to meet client privacy requirements.