AI/ML Data Annotation Specialist
Managed the data lifecycle pipeline including acquisition, cleaning, labeling, and validation for supervised learning in various computer vision projects. Performed annotation using bounding box, polyline, and segmentation approaches to prepare datasets for model training and evaluation. Utilized Python-based ecosystem and internal tools to conduct data labeling for image-based machine learning workflows. • Experience with multiple annotation types for computer vision. • Ensured adherence to quality standards in dataset preparation. • Applied annotations for tasks like object detection and classification. • Supported model optimization by providing accurate, labeled datasets.