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.

Key Responsibilities:
• 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.

What You’ll Gain:
• Practical experience with data annotation for real-world AI applications.
• Master various image annotation techniques, become proficient in industry-standard human in the loop annotations.
• Gain expertise in CVAT, a leading annotation tool used across Robotics and computer vision industries.
• Mentorship from experienced AI/ML professionals.
• A pathway to roles in data analysis, QA, or other entry-level positions within the AI and tech industries.