Machine Learning Engineers: Scenario Building for Reinforcement Learning
Terac · United States Remote
Use a remote reinforcement learning platform to configure simulated environments, define spatial constraints, test preliminary agent interactions, document friction points, and provide usability feedback.
- Role
- Engineering
- Remote policy
- fully-remote
- Team
- Participant Recruitment
- Type
- Contract
- Region
- Americas
- Posted
- 2026-09-03
- First seen
- 2026-11-03
- Last seen alive
- 2026-11-03
- Last verified
- 2026-11-03
- Verification
- AI-verified
- Source
- Terac careers
- Board
- ashby
Report expired / not remote
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