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Origin

CVAT Annotation Intern

InternshipIn OfficeBengaluruFlexible duration1 opening

About this internship

Origin is hiring for CVAT Annotation Intern in Bengaluru. This opening was published by Origin on their official workable-search careers board on 9 September 2026 and was verified as still open on 10 September 2026. About the role About Origin  Origin (previously 10xConstruction) is building…

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Skills you'll use

Data AnalysisRoboticsComputer Vision

What you'll do

  • 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
  • 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 :

Who can apply

  • Access a pathway to roles in data analysis, QA, or other entry-level positions within the AI and tech industries.

About Origin

About Origin • Physical AI For The Built World Faster builds. Safer sites. Predictable outcomes. Reinventing how humanity builds Construction today is expensive, unsafe, and labor-constrained. We solve this with autonomy. By shifting hazard to robots and complexity to AI, we are making…
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