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.
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.