Terac

Machine Learning Engineers: Scenario Building for Reinforcement Learning

Terac  •  $90/hr  •  United States (Onsite)  •  3 hours ago
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Job Description

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.

Terac

About Terac

Terac is building the infrastructure layer that connects AI systems with on-demand human expertise.

We believe the future of work is shifting: instead of humans using AI to do most tasks, AI will increasingly do most work with the help of humans. In that world, companies won’t need traditional employees - but they will still need people. Terac powers that future by making high-quality human labor accessible through a single API.

Today, Terac operates as an expert network for frontier research. We handle sourcing, verification, screening, and payouts so partners can instantly access specialized talent for research, evaluation, and data generation. Our platform enables companies to tap into niche expertise on demand while focusing on building their core products.

Backed by $9M from Emergence, SignalFire, Audacious, and Z Fellows, we’re scaling from research tooling into a broader marketplace for the human data economy - building systems for expert matching, pricing, routing, and trust that will define how AI and humans collaborate at scale.

Industry
Biotech & Life Sciences
Company Size
51-200 employees
Headquarters
San Francisco, California
Year Founded
2025
Website
terac.com
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