Real job — pulled straight from Terac’s careers page · Verified September 10, 2026 · No reposts.
Job description
Terac is hiring a Machine Learning Engineer, Reinforcement Learning — a contract, based in United States role ($187k–$187k). Apply directly on Terac's careers page below.
Machine Learning Engineers: Scenario Building for Reinforcement Learning
Department: Participant Recruitment
Location: United States
Employment Type: Contract
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'll 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 Should Apply
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
Compensation
$90 per hour
Ready to participate?
Start your paid interview now
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
Get Machine Learning Engineer jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Frequently asked questions
What is the salary for Machine Learning Engineer, Reinforcement Learning at Terac?
The estimated salary range for Machine Learning Engineer, Reinforcement Learning at Terac is $187,000 - $187,000 USD per year.
What skills are required for Machine Learning Engineer, Reinforcement Learning at Terac?
The required skills for Machine Learning Engineer, Reinforcement Learning at Terac include: Machine Learning, AI.
What is the seniority level for Machine Learning Engineer, Reinforcement Learning at Terac?
Machine Learning Engineer, Reinforcement Learning at Terac is a Mid Level level position.
How do I apply for Machine Learning Engineer, Reinforcement Learning at Terac?
You can view the full description and apply for Machine Learning Engineer, Reinforcement Learning at Terac on EchoJobs: https://echojobs.io/job/terac-machine-learning-engineers-scenario-building-for-reinforcement-learning-ned0g.