Machine Learning Engineers: Scenario Building for Reinforcement Learning
Listed pay: $90 / hr
What the posting lists, in US dollars an hour, before anything Terac deducts.
49 openings on this one listing.
How to apply- Platform
- Terac
- Terms
- Contract
- Location
- Remote, no country stated
- Posted
- · 1 week ago
- Status
- Open at the last check
Applying on Terac
Apply on Terac
If you sign up through a link here and complete a paid opportunity, Terac pays this site a referral fee. Your pay is unaffected.
Red Pen Jobs is independent. We are not affiliated with, endorsed by, or acting for Terac in any way, and we do not recruit on its behalf.
What happens after you click
- The link opens this role on Terac. Sign up and apply from there.
- Verify a government ID. Terac locks applications until you do.
- Complete the opportunity's screener: a short form, an AI voice interview of 5 to 10 minutes, or a file upload. One attempt per opportunity.
- Once a submission is approved, the earnings are in your Terac balance. Terac says cash-outs start at $12.50 and are processed within 24 hours, with a verified ID.
- The work is paid by the hour, at the $90 this posting lists.
- Remote. The posting names no country, so we have not assumed one applies.
What the work is
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 listing.
Skills the posting asks for
- Machine Learning
- Reinforcement Learning
- Simulation Engineering
- Artificial Intelligence