workable
CVAT Annotation Intern
Origin
Bengaluru, IND
Contract, Internship
Entry · 0+ years experience
Onsite
Discovered 3 days ago
CVAT
Free
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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 Skills for This Role
CVAT
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About Origin
Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.
About the role
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 types of datasets.
- Suggest improvements to annotation guidelines and workflows. Adhere to project deadlines and deliver high-quality annotated data within predetermined timelines.
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