Simulation Expert — Real-to-Sim 3D Environments & Assets

$60–150/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Location not stated
Field: Creative

Build physics-aware 3D assets and environments that reproduce real objects, instruments and behavior in robotics simulation platforms. The work combines modeling, parameter tuning, validation and troubleshooting with scientific and technical stakeholders.

The work

You will translate real-world objects and instruments into simulation-ready 3D assets and environments using Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, PyBullet or a comparable platform. Day-to-day work may include matching geometry, scale and materials, configuring collisions and joints, tuning mass and friction, modeling sensor behavior and investigating gaps between simulated and observed results.

What the platform screens for

The screening is likely to focus on concrete simulation projects and the decisions behind them. Be prepared to identify the tools you used, explain how you obtained or estimated physical parameters, describe validation against real-world behavior and discuss how you worked with scientists or subject-matter experts. Prior AI experience is not required.

Working arrangement

This is a remote contractor role. The listing does not state whether work is primarily asynchronous, which time zones must be covered, or the expected weekly hours, so candidates should confirm those details during the process.

Pay band: $60–150/hr

What they look for

isaac sim
gazebo
mujoco
unity
unreal
pybullet
3d modeling
cad
environment design
physics simulation
rigid body dynamics
material properties
simulation troubleshooting
collaboration with scientists
attention to detail

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether you can substantiate real-to-sim experience with a named platform, a defined physical system, specific implementation work and an observable result.
A strong answer: Anchor the answer in one project and specify the simulator, source data, asset pipeline, physical parameters you owned and how fidelity was checked. Separate your individual contribution from the work of the wider team.
Where people lose it: Candidates lose points by describing a visually polished scene without showing that scale, collisions, mass or behavior were validated against the real system.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.