CVAT Annotation Intern

Origin; Bengaluru; On-site; INR 180,000 - 300,000; Full time

Job summary

Origin in Bengaluru is seeking a detail-oriented CVAT Annotation Intern to contribute to high-quality label datasets for training autonomous robots used in construction. The role focuses on practical data annotation using CVAT, with mentorship from AI/ML professionals and exposure to real-world robot development.

You will annotate images with bounding boxes, polygons, and segmentation masks, perform quality checks, collaborate with AI/ML teams, and help refine annotation guidelines while meeting

Qualifications

• Practical experience with data annotation for AI applications.
• Familiarity with CVAT and industry annotation workflows.
• Interest in robotics and AI.

Responsibilities

• Accurately annotate and label objects, regions, and features within images on CVAT using bounding boxes, polygons, and segmentation masks.
• Perform quality control checks on annotated data and review others’ work when required.
• Collaborate with AI/ML teams to improve dataset quality and create new dataset types.
• Suggest improvements to annotation guidelines and workflows and meet project deadlines.
• Communicate challenges and share best practices with project leads and team members.

Skills

Data annotation

CVAT

Image labeling

QA checks

Team collaboration

Tools

CVAT tool

Job description

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.
• Communicate effectively with project leads and team members about challenges and gather/share best practices

Requirements

• Practical experience with data annotation for real-world AI applications. Master various image annotation techniques and become proficient in industry-standard human-in-the-loop annotation workflows.
• Gain expertise in CVAT, a leading annotation tool used across robotics and computer vision industries.
• Receive mentorship from experienced AI/ML professionals.
• Access a pathway to roles in data analysis, QA, or other entry-level positions within the AI and tech industries.

For apprentice/Intern

This is a six-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We're excited to work with motivated individuals who are eager to support real-world robot development and grow alongside us.