You will create and configure 3D environments and assets for simulation-based AI training. The work involves translating real-world objects and instruments into simulated versions that match their shape, scale, materials, and physical behavior.
You will also work with scientific and technical subject-matter experts to check accuracy, adjust physical settings, and investigate differences between simulated and real-world behavior.
- Build and configure 3D assets and environments in Isaac Sim, Gazebo, MuJoCo, or a similar simulation platform.
- Translate real-world objects and instruments into simulation with accurate geometry, scale, materials, and physical behavior.
- Tune mass, friction, collision properties, and joint dynamics so simulated objects behave like their real counterparts.
- Troubleshoot discrepancies between simulated and real-world behavior.
- Collaborate with scientists and subject-matter experts to validate simulated environments.
What It Pays and Takes
This is a part-time contractor role for applicants in the listed countries. No previous AI experience is required, but you should bring relevant simulation, 3D, CAD, environment design, or physics knowledge.
- $60 to $150 per hour.
- Part-time contract work.
- Open to candidates in multiple countries across the Americas, Europe, Africa, Asia, and the Middle East.
- Professional fluency in English is required.
- Hands-on experience with at least one robotics or physics simulation platform, such as Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or PyBullet.
- Background in 3D modeling, CAD, or environment design.
- Understanding of physics simulation, including rigid-body dynamics, materials, and sensors.
- Strong collaboration skills with scientific and technical stakeholders.
- Careful attention to detail when matching real-world fidelity.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work used to prepare and evaluate the examples that AI systems learn from. In this role, your 3D simulation and physics knowledge helps create realistic training environments so models can learn from more accurate data.
