For Employers

Terac

Machine Learning Engineers: Scenario Building for Reinforcement Learning

Posted 9 days ago
$90 per hour
2-5 years experience
Apply Now

Please mention DailyRemote when applying

?/100
Resume Match Score

Match your resume skills with our AI powered skill match!

Get professional review
AI Summary

Design and construct complex scenarios within a reinforcement learning platform by configuring environmental parameters and interaction rules. Test agent behaviors and document workflows to provide feedback on platform usability.

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.

Automatically Apply to the Best Remote Jobs

Stop the endless job search. Our AI finds and applies to the best jobs for you.

Try it Now
Keep looking

Similar Jobs

See all Remote Software Development jobs →

Product Engineer

Full Time India Software Development

Senior Machine Learning Engineer

Full Time India Software Development

Senior Backend Engineer - Java

Full Time United States $152K - $194K per year Software Development

SaaS Solutions Architect - Ruby

Full Time United States $106K - $150K per year Software Development

Principal AI Engineer

Full Time United Kingdom Software Development

Automation QA Engineer NG

Full Time Niger, Nigeria Software Development
Apply Now

Personalize your Remote Job Search in 3 Easy Steps!

Discover remote opportunities in Machine Learning Engineer

Answer easy questions

Answer easy questions

200,000+ jobs across 15+ categories

Get your best job matches

Get your best job matches

Only hand-screened, legit jobs

Find a remote job faster

Find a remote job faster

No ads, scams, or junk

I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”

Sarah J. — Sarah J. · Marketing Manager ★★★★★ Verified