This is not a traditional job — you'll draw on your hands-on experience in control systems, motion planning, or robotic systems design to evaluate AI-generated content and provide feedback that helps AI reason like a practicing robotics engineer.

This is an ongoing, project-based opportunity you can take on alongside your current role.

• Use your domain expertise to create expert-level robotics problems and scenarios grounded in real system design, sim-to-real workflows, and field deployment.
• Review and evaluate AI-generated responses for technical accuracy, feasibility, and alignment with how the work is actually done.
• Provide structured written feedback to help improve AI model performance.

Ideal candidates meet all three of the following:

• Industry/research experience — has shipped real robotic systems or published research, and can build a full sim-to-solution task end to end.

• Degree — MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or Computer Science with a robotics focus. Senior industry robotics engineers without an advanced degree also qualify.

• Sub-domain depth — demonstrated expertise in one of the following areas:

  • ROS/ROS2 and control theory.

  • Motion planning, kinematics/dynamics, and sensor fusion.

  • SLAM and simulation (Gazebo, MuJoCo, Isaac Sim).

Candidates who meet at least 2 of the 3 qualifications above are also encouraged to apply.

Additional qualifications (not required, but strengthen your application)

• Proficiency across the full robotics stack — ROS/ROS2, MuJoCo, Gazebo, or Isaac Sim.

• Experience shipping robotic systems to production or publishing in robotics venues.

Required for all applicants

• Must have Indian work authorization.

• Strong written communication and attention to detail.

• Ability to explain complex robotics concepts clearly.

• Ability to work independently in a remote, asynchronous environment.

Work arrangement: Fully remote

Eligible countries: India

• Depending on the project.