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Machine Learning Engineers: Scenario Building for Reinforcement Learning

Terac Contract, part-time 49 openings Posted 1 month ago US, UK, EU, CA, AU, NZ

Role details

Skills the posting asks for

  • Machine Learning
  • Reinforcement Learning
  • Simulation Engineering
  • Artificial Intelligence

We are conducting a paid study on scenario generation and world-building for reinforcement learning platforms. We are looking for experienced machine learning and simulation engineers to construct structured environments and evaluate agent interactions.

From the Terac posting.

Applying on Terac

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  1. The link opens this role on Terac. Sign up and apply from there.
  2. Verify your phone to start an application. Terac needs a verified government ID before your first cash-out, so do that early too.
  3. Complete the opportunity's screener: a form, an AI voice interview of about 3 minutes, or a file upload. One attempt per opportunity.
  4. Once a submission is approved, the earnings are in your Terac balance. Cash-out starts at $12.50 through Whop, Terac's payout partner, and a standard bank withdrawal typically arrives in 1 to 3 business days.
  5. Remote — open to United States, Canada, United Kingdom, Ireland, Australia, New Zealand, Germany, France, Netherlands, Belgium, Austria, Switzerland, Denmark, Sweden, Norway, Finland, Iceland, Italy, Spain, Portugal, Greece, Luxembourg, Malta, Cyprus, Liechtenstein and Monaco.
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Pays $90 an hour, below the $120 median top rate of the 28 other open hourly machine learning engineers roles listed here. 49 openings. Posted 8 weeks ago.

We read this listing on Terac on 13 Sep 2026 and checked it again on 29 Oct 2026. We clean its formatting for readability and safety. View on Terac

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