Robotics ML Expert, AI

Department: Software Engineering for AI

Location: Miami, Santa Cruz de la Sierra, El Alto, La Paz, Cochabamba, Oruro, Guayaquil, Quito, Cuenca, Santo Domingo, Asunción, Ciudad del Este, Caracas, Maracaibo, Valencia, Barquisimeto, Maracay, Salvador, Belo Horizonte, Campinas, Porto Alegre, Brasília, Manaus, Curitiba, Goiânia, Belém, Fortaleza, Recife, Rio de Janeiro, Guarulhos, São Paulo, Montevideo, Arequipa, Lima, Buenos Aires, Córdoba, Rosario, Mar del Plata, La Plata, Barranquilla, Medellín, Cali, Cartagena, Bogotá, Santiago de Chile, Chihuahua, Zapopan, Tijuana, Ciudad Juárez, Mexico City, Ecatepec, León, Puebla, Guadalajara, Monterrey, Mérida, San Juan, Bayamón, Montreal, Calgary, Edmonton, Winnipeg, Vancouver, Mississauga, Ottawa, Toronto, Atlanta, Savannah, Indianapolis, Boise, Fairfax, Virginia Beach, Chesapeake, Arlington, Richmond, Norfolk, Seattle, Denver, Oklahoma City, Nashville, Washington, D.C., Reno, Las Vegas, Boston, Chicago, Phoenix, Philadelphia, Austin, Huston, Dallas, El Paso, Miskolc, İzmir, San Antonio, Fort Worth, Jacksonville, Columbus, Charlotte, Santo Domingo de Guzmán, Santiago de los Caballeros, Santo Domingo Este, Santo Domingo Oeste, Tallinn, Tartu, Madrid, Barcelona, Valencia, Seville, Budapest, Debrecen, Szeged, Pécs, Nottingham, Edinburgh, Liverpool, Manchester, London, Birmingham, Leeds, Glasgow, Southampton, Sheffield, Bristol, Belfast, Cardiff, Bratislava, Banská Bystrica, Bucharest, Cluj-Napoca, Sarajevo, Dublin, Cork, Limerick, Riga, Ankara, Adana, Gaziantep, Konya, Kayseri, Mersin, Istanbul, Bursa, Antalya, Vilnius, Kaunas, Warsaw, Kraków, Łódź, Wrocław, Poznań, Gdańsk, Varna, Sofia, Plovdiv, Lisbon, Porto, Funchal, Athens, Thessaloniki, Patras, Piraeus, Heraklion, Tirana, Durrës, Rome, Milan, Naples, Turin, Palermo, Prishtinë, Podgorica, Valletta, Skopje, Belgrade, Novi Sad, Toulouse, Nantes, Prague, Paris, Marseille, Lyon, Nice, Strasbourg, Frankfurt am Main, Stuttgart, Düsseldorf, Leipzig, Dortmund, Berlin, Hamburg, München, Köln, Bremen, Dresden, Hannover, Nürnberg, Duisburg, Brussels, Charleroi, Liège, Bruges, Vienna, Graz, Linz, Antwerp, Ghent, Namur, Salzburg

Employment Type: Contract

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 MuJoCo 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 MuJoCo (or via dm_control, 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 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 PayPal 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.