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Video Data Engineer
Intuition Co., Ltd.
Responsibilities
- Build and improve our body and hand tracking pipelines on egocentric, multi-view footage.
- Build the SOP and workflow detection layer on top of raw video — automatically segment tasks, detect steps, and extract structured workflow metadata.
- Push the state of the art on 3D human pose and shape under real-world capture conditions.
- Fuse visual signals with IMU to produce robust 3D pose under occlusion and motion blur.
- Benchmark our annotations against academic datasets and the requirements of top AI labs and frontier robotics labs.
- Take research from paper to production. Your code ships into the pipeline that feeds the customers training the next generation of embodied AI.
Requirements
- Strong background in computer vision research or applied work. SLAM, 3D object tracking, or human and object pose tracking.
- Hands-on work with video generation models or world models.
- Comfortable reading a paper on Monday and having a working prototype by Friday.
- High agency — you don't wait to be told what to do.
- Fluent in English.
- Nice to have: direct experience with body or hand tracking. Parametric models such as SMPL, SMPL-X, or MANO.
- Nice to have: IMU-based motion capture or visual-inertial fusion.
- Nice to have: knowledge of the world models industry, infrastructure, and the labs pushing it forward.
- Nice to have: robotics experience. Imitation learning, teleop, manipulation, or anything that turns human data into robot policies.
About the company
We are a Silicon Valley-based, venture-backed AI robotics startup dedicated to scaling real-world robot deployments. Our strategy focuses on two key areas: leveraging an extensive distribution network (with partners including Midea, Mercedes-Benz, P&G, and more) to deploy robots in real-world applications, and collecting diverse data across heavy industry, home services, and other sectors through varied methods. We deploy robots from OEM partners—including KUKA—providing the models and deployment infrastructure that enable reliable operation across different scenarios, as announced in our collaboration with Intuition.
- Industry
- AI Hardware & Robotics
- Founded
- 2023-05-23