Machine Learning Engineers: Scenario Building for Reinforcement
Quick facts
- Type
- Contract
- Location
- Remote
- Skills
- Machine Learning
- Platform
- Terac — 49 open jobs
- Apply
- Free to apply — never pay to get AI training work
What You'll Do
Design and build specific scenarios within a remote reinforcement learning platform Configure environmental parameters and define agent interaction rules Test initial agent behaviors to validate your scenario structure Walk us through your workflow and highlight areas for platform improvement
Who Should Apply
Professional experience in machine learning or artificial intelligence research Hands-on background in building simulations or reinforcement learning environments Familiarity with configuring platform interfaces and defining reward structures Comfortable articulating technical feedback during a remote interview
Contract & Payment Terms
You will be engaged as an independent contractor. This is a fully remote opportunity that can be completed on your own schedule. Opportunities can be extended, shortened, or concluded early depending on needs and performance. Your participation will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are processed weekly based on services rendered. We are unable to support H1-B or STEM OPT candidates at this time.
Pay: $90
About Terac
Terac posts paid expert studies and data-annotation tasks for teams building AI. Opportunities range from short professional surveys and interviews to longer annotation projects.