Machine Learning Engineers: Scenario Building for Reinforcement Learning
Terac · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Hourly paid study
- RL simulation focus
- AI/ML background
Join a study to build worlds within a reinforcement learning platform. You will design specific scenarios, configure environmental parameters, and test agent interactions to help refine the tools used for training AI agents.
What you'll do
- Design and build specific scenarios in a remote RL platform
- Configure environmental parameters and agent interaction rules
- Test initial agent behaviors to validate scenario structure
- Document workflow and note friction points in the interface
- Participate in an interview to share platform usability feedback
What you'll need
- Professional experience in machine learning or AI research
- Hands-on background in building simulations or RL environments
- Familiarity with configuring platform interfaces
- Experience defining reward structures for agents
- Comfortable articulating technical feedback remotely
How you'll work
- Fully remote participation
- Paid via hourly rate
- Includes a remote interview session