Machine Learning Engineers: Scenario Building for Reinforcement Learning
We're hiring AI researchers and machine learning engineers to participate in building worlds within a reinforcement learning platform.
- Pay
- Firm hourly pay: $90 per hour
- Location
- Remote
- Eligibility
- Remote, applicant location not specified
- Qualification difficulty
- Selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- Terac
- Fit category
- General professional
- Listing/source checked
- Sep 17, 2026
- Apply link checked
- Sep 17, 2026
Application
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What this role involves
We're hiring AI researchers and machine learning engineers to participate in building worlds within a reinforcement learning platform. This work directly influences how agents interact with complex, simulated environments during their training cycles. Your technical expertise will help us refine the tools and interfaces used to create robust testing scenarios.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- Professional experience in machine learning or artificial intelligence research
- Hands-on background in building simulations or reinforcement learning environments
Check before applying
Reasons to pause
- The current Terac opportunity no longer appears in the complete public inventory
- You cannot meet the role-specific eligibility, screening, or availability requirements
Still to verify
- Review the current Terac opportunity before applying. Opportunities can be hourly, one-time, task-based, or otherwise project-specific, and closing dates, interview capacity, time commitments, pay, screening, and availability can change.
- Applicant eligibility still needs checking: Remote, applicant location not specified.
What to prepare
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Requirements
- Comfortable articulating technical feedback during a remote interview
Best for
- Comfortable articulating technical feedback during a remote interview