Jobs / Terac

Machine Learning Engineers: Scenario Building for Reinforcement Learning

$90/hr

source wording: “Terac listing record, payRate 90.00 USD HOURLY”

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”

The role, as Terac describes it

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

Read the rest of the description (12 more paragraphs)

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

Posted by Terac, reproduced here so you can judge the role before clicking. Original posting ↗

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Source: platform job feed · first seen 4d ago · ID gHZD5v2UVnpSQZv5

Machine Learning Engineers: Scenario Building for Reinforcement Learning

The role, as Terac describes it

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