TeracCoding & software eval
Machine Learning Engineers: Scenario Building for Reinforcement Learning
$90/hr
About this role, in Terac's words
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.
What you'll do
What you would 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
Candidate background
What this role asks for
- Machine Learning
- Reinforcement Learning
- Simulation Engineering
- Artificial Intelligence
Read from the posting's own words: show the exact sentences
- Machine Learning: “listed by the platform under required skills: Machine Learning”
- Reinforcement Learning: “listed by the platform under required skills: Reinforcement Learning”
- Simulation Engineering: “listed by the platform under required skills: Simulation Engineering”
- Artificial Intelligence: “listed by the platform under required skills: Artificial Intelligence”
Quoted from selected sections of Terac's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Terac's words
Posted by Terac, reproduced here so you can judge the role before clicking. Original posting ↗
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.
What We're Researching
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. How It Works
You will connect to our remote platform to design and construct specific scenarios for reinforcement learning agents. Throughout the session, you will configure environmental parameters, define spatial constraints, and run preliminary agent interactions to test your setup. You will document your workflow and note any friction points encountered while structuring the environment. Finally, you will participate in an interview to share your feedback on the platform's overall usability. Who This Is For
This study targets professionals with hands-on experience in simulation design and reinforcement learning environments. We welcome machine learning engineers, AI researchers, simulation developers, and technical game designers accustomed to RL frameworks. Candidates should be highly comfortable configuring complex platform interfaces and defining structured agent scenarios.
What you would 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 this is for
• 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
Working with TeracPay, getting started and work, from Terac's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid through Virtual Incentives: PayPal, Venmo, a prepaid Visa card or direct cashout in the US, PayPal elsewhere. A payout starts once a submission is approved, and cashing out needs a $12.50 balance and a verified ID. terac.com/docs/experts/policies/payout-policy, terac.com/docs/experts/how-to/payments, terac.com/whats-new/2026-05-31-may-2026-updates
- Before your first paid task
- A verified government ID through Persona before you can apply, then a screening step for each study: a short form, an AI voice interview or a file upload. A study you are screened out of is not paid. terac.com/docs/experts/how-to/apply, terac.com/docs/experts/policies/rewards
- How much work
- Terac guarantees no number of opportunities and no earnings. Manually reviewed applications hear back in 1 to 5 business days. terac.com/docs/experts/policies/terms, terac.com/docs/experts/support/faq
- Contract
- Independent contractor, with Terac Inc. of California. terac.com/legal/terms-of-service
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Terac's posting. How we count.
Pay across the field: Coding & software eval
Across 392 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $95. This role's top rate, $90, is in the middle half. Of the 138 distinct rates we count, 62 are lower and 69 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 127 | $50 to $400 · median $100 |
| micro1 | 49 | $60 to $400 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Mercor | 36 | $60 to $200 · median $110 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 4 Sep 2026, and still on Terac's list when we last read it on 25 Oct 2026.
- The listed pay has not changed since then.
- Posted by Terac
- First seen by AIPayList
- Last seen live
- Listing ID
- gHZD5v2UVnpSQZv5
Pay as the source states it: “Terac listing record, listed rate 90.00 USD HOURLY”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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