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We are building the world's most valuable robotics training datasets. Our mission is to capture and process large-scale video data of human actions and environments, then deliver structured datasets to leading robotics companies.
The Role
We're looking for a Computer Vision & Robotics Engineer to take ownership of our video data pipelines from raw uploads to structured, client-ready datasets. You'll work with state-of-the-art tools (classic CV models + modern vision-language models) and annotation platforms to automate, scale, and ensure quality.
What You'll Do
- Build scalable pipelines to process and clean massive amounts of video data
- Automate annotation workflows using classic CV models + vision-language models (ChatGPT, Gemini, etc.) + human QA
- Package datasets in industry-standard formats (COCO, AVA, pose/action recognition datasets)
- Maintain high data quality: filtering, deduplication, validation, metadata consistency
What We're Looking For
- Strong Python skills (OpenCV, PyTorch/TensorFlow, NumPy/Pandas)
- Experience with large-scale video dataset processing
- Familiarity with robotics training processes and models
- Familiarity with annotation tools (Label Studio, CVAT, Supervisely, etc.)
- Knowledge of dataset standards used in CV/robotics (COCO, Pascal VOC, AVA)
- Hands-on experience automating labeling and data QA
- Familiarity with modern Vision-Language Models (ChatGPT, Claude, Gemini, etc.) and how they can assist in labeling/annotation
- Background in robotics, autonomous driving, computer vision, or large-scale data companies
- Prior startup experience (fast iteration, lean teams)
Key Skills
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