Find a jobRecruiters

Machine Learning Engineers: Scenario Building for Reinforcement Learning

Exclusive opportunity

Remote

Machine Learning Engineers: Scenario Building for Reinforcement Learning

Terac

Machine Learning Engineers: Scenario Building for Reinforcement Learning

Skills

Machine LearningAI

2 months ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Freelance / Contract

Salary:

$180,000 / year

Location:

United States

Work mode:

Remote

Published on:

3 September 2026

What they need


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.

Other offers great for you!

These companies are also looking for great profiles

Skiils

Machine Learning Engineer / MLOps Senior

Freelance

Paris, France

Hybrid

Skills

LLMs / Large language modelsDockerPythonPyTorchMachine LearningAWSKubernetesMLOpsCI/CD

4 months ago

Quick apply

Mobiskill

Machine Learning Engineer

450

Freelance

Remote

Top Recruiter

Skills

PythonPyTorchMachine LearningAIMachine Learning Engineer

10 days ago

Quick apply

Theodo

Machine Learning Engineer / ML Engineer

480 - 580

Freelance

Paris, France

Hybrid

Skills

AIData Scientist

4 days ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools