Robotics and RL Researcher (Research Coding Tasks)

You will create and review technical coding tasks used to test AI models in robotics and reinforcement learning. The work is based on your research expertise and is completed remotely on an asynchronous schedule.

• Build self-contained research coding tasks in robotics and reinforcement learning.
• Review AI model outputs and give feedback in your area of expertise.
• Work with the project lead to maintain research-quality standards.
• Apply your knowledge of robot learning, sim-to-real transfer, control, and reinforcement learning.

This is a remote contractor role for research-focused coding work.

• Pay: $50 per hour.
• The role description lists $200 per approved task, with each task taking about 4 hours.
• Location: Open to candidates in the countries listed for this role.
• Language: Professional fluency in English.
• Required: Published research at venues such as CoRL, RSS, ICRA, IROS, or NeurIPS, or comparable research experience.
• Required: Research code released through GitHub or an artifact link.
• Required: A completed or in-progress PhD in computer science or a related field.
• Required: Hands-on depth in robot learning, sim-to-real transfer, control, and reinforcement learning.
• Helpful: First-author publications in your area.
• Helpful: Familiarity with Docker and reproducible research environments.
• Helpful: A strong record of shipping robotics and reinforcement learning code.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind artificial intelligence, including writing coding tasks and reviewing model outputs. Researchers and other specialists help models learn accurate, useful behavior in technical fields.