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

AI Trainer Jobs; United States; On-site; USD 83,000 - 207,000; Full time

Job summary

micro1 is seeking a Simulation Expert - Real-to-Sim 3D Environments & Assets to contribute to advanced simulation and AI training. As a contractor, you will build and configure 3D assets and environments across platforms, translating real-world objects into accurate simulations.

You\'ll collaborate with scientists and engineers to validate fidelity, tune physics parameters, and troubleshoot discrepancies, shaping how models learn and perform.

Qualifications

• Experience with robotics/physics simulation platforms such as Isaac Sim, Gazebo, MuJoCo.
• Background in 3D modeling, CAD, or environment design.
• Understanding of physics simulation including rigid body dynamics and materials.
• Ability to collaborate with scientists and stakeholders.
• Attention to detail to match real-world fidelity.

Responsibilities

• Build and configure 3D assets and environments in simulation platforms.
• Translate real-world objects into accurate simulations with proper geometry and material behavior.
• Collaborate with scientists to validate environment accuracy.
• Tune physical parameters like mass and friction for realistic dynamics.
• Troubleshoot discrepancies between simulated and real-world behavior.

Skills

collaboration with scientists

attention to detail

environment design

Tools

Isaac Sim

Gazebo

MuJoCo

Unity

Unreal

PyBullet

3D Modeling

CAD

Job description

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

$60 - $150/hour

pay

Required Skills

• 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

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Simulation Expert - Real-to-Sim 3D Environments & Assets

Role Type: Contractor

Location: Remote

micro1 is engaging Simulation Experts - Real-to-Sim 3D Environments & Assets to contribute to a customer's project focused on advanced simulation and artificial intelligence training. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Key Responsibilities

• Build and configure 3D assets and environments in simulation platforms (Isaac Sim, Gazebo, MuJoCo, or similar)
• Translate real-world objects and instruments into simulation, matching geometry, scale, material, and physical behavior
• Collaborate with scientists and subject-matter experts to validate accuracy of simulated environments
• Tune physical parameters (mass, friction, collision properties, joint dynamics) so simulated objects behave like their real counterparts
• Troubleshoot discrepancies between simulated and real-world behavior

Qualifications

• Hands-on experience with at least one robotics/physics simulation platform (Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, PyBullet, etc.)
• Background in 3D modeling, CAD, or environment design
• Understanding of physics simulation (rigid body dynamics, materials, sensors)
• Strong collaboration skills working with scientific/technical stakeholders
• Attention to detail in matching real-world fidelity