Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
    • Events
  • Portfolio
  • More tools
    • Hiring
  • Settings
All jobs
TETerac logo

Terac

United States

Machine Learning Engineers: Scenario Building for Reinforcement Learning.

CONTRACTREMOTEDATA & ML

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.

Pay
Not stated
Where
United States
Work
Remote
Type
Contract
Posted
3 Sep, 2026
Apply on the original postingSign in to prepare an application

Verified board

more at Terac.

12 Oct, 2026

Terac

Fintech Engineering Leaders: Interview on Card Issuing Platforms

TETerac logo
  • Contract
  • Remote
  • Engineering

United States

Remote

Details
7 Oct, 2026

Terac

日本語を話す高級ブランドショッパー:プレタポルテの購入に関するインタビュー

TETerac logo
  • Contract
  • Remote
  • Data & ML

Japan

Remote

Details
8 Oct, 2026

Terac

IT and Business Managers: Paid Interview on Technology Operations

TETerac logo
  • Contract
  • Remote

United States

Remote

Details

similar roles.

13 Oct, 2026

Duet

Community and Events Manager

DUDuet logo
  • Full time
  • Lead
  • Remote
  • Data & ML

$90k–110k/yr

New York City

Details
24 Jan, 2025

AlphaSense

Equity Research Associate

ALAlphaSense logo
  • Junior level
  • Remote
  • Data & ML

Remote - Canada

Remote

Details
30 Jul, 2026

AlphaSense

Client Due Dilligence Analyst (DDQ)

ALAlphaSense logo
  • Data & ML

Bengaluru

Salary not listed

Details
8 Jul, 2026

ON.energy

Warranty Claims Specialist

OEON.energy logo
  • Full time
  • Data & ML

Houston +2

Full time

Details
15 Sep, 2026

TLDR

Senior Software Engineer, Applied AI

TLTLDR logo
  • Full time
  • Senior level
  • Remote
  • Data & ML

$250k–300k/yr

Remote

Details
28 Aug, 2026

TLDR

Product Manager, Applied AI

TLTLDR logo
  • Full time
  • Lead
  • Remote
  • Data & ML

$180k–225k/yr

Remote

Details