Robotics ML Expert, AI

Before applying

This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying - we're unable to process applications from unlisted locations. List of accepted countries and locations.

For US applicants

This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship.

We are unable to provide offer letters or employment verification for this role.

What You'll Be Doing

• Design, build, and iterate on Mu Jo Co  simulation environments for robotics research and AI training
• Implement and tune RL algorithms (PPO, SAC, TD3) to train agents on simulated tasks
• Define reward functions, observation spaces, and action spaces that produce robust, transferable policies
• Debug and optimize physics simulations - contact models, actuator dynamics, scene configs
• Evaluate trained policies for stability, generalization, and sim-to-real transfer potential
• Document environment specs, training procedures, and experimental results clearly
• Collaborate async with research teams and stay current with advances in robot learning and embodied AI

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

What You'll Need

• Strong hands-on experience with Mu Jo Co  (or via , Gymnasium-Robotics, or similar)
• Solid understanding of RL theory and practical training pipelines
• Proficient in Python + ML frameworks (PyTorch or JAX)
• Experience defining reward functions for complex robotic tasks
• Familiar with robot kinematics, dynamics, and control fundamentals
• Can read and write MJCF/XML model files and understand their physics implications
• Self-directed, detail-oriented, comfortable working independently in an async environment
• Strong written communicator - a big part of this role is explaining your reasoning clearly

Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence.

Nice to Have

• Experience with sim-to-real transfer - domain randomization, system identification
• Familiarity with other physics simulators:
  Isaac Gym, PyBullet, Drake, or Genesis
• Background in multi-agent environments or hierarchical RL
• Published research or open-source contributions in robotics, RL, or embodied AI
• Experience with imitation learning, model-based RL, or world models
• Graduate-level coursework or a degree in robotics, ML, CS, or a related field

What You Don't Need

• No prior RLHF or AI training experience
• No deep machine learning knowledge - if you can review and critique code clearly, we'll teach you the rest

Logistics

• Location: Fully remote - work from anywhere on the accepted locations list
• Compensation: $30-$70/hr based on location and seniority.
  
  Note:
  
  the majority of projects run at around $30/hr - higher rates apply to senior profiles and specific project types
• Hours: Minimum 15 hrs/week, up to 40+ hrs/week available - hours vary by project and are not guaranteed week to week
• Engagement: 1099 independent contractor
• Payment: Weekly via Pay Pal or Stripe

Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.