Duration: 6 months
Department: Data Annotation / Machine Learning / AI

Role Overview:
We are seeking a detail-oriented and motivated CVAT Annotation Intern to assist in the creation of high-quality label datasets using CVAT (Computer Vision Annotation Tool). In this role you will directly contribute to the creation of robust datasets required for training physical AI agents.

Accurately annotate and label objects, regions, and features within images using various annotation techniques (e.g., bounding boxes, polygons, segmentation mask) on CVAT. • Maintain organized records and document all annotation updates accurately. • Perform quality control checks on annotated data, including reviewing and verifying the work of other annotators when required • Collaborate with AI/ML teams to enhance dataset quality and build new type of datasets. • Suggest improvements to annotation guidelines and workflows. • Adhere to project deadlines and deliver high-quality annotated data within predetermined timelines. • Communicate effectively with project leads and team members about challenges and gathering/sharing best practices.