OpenRecently verified

Machine Learning Engineers: Scenario Building for Reinforcement Learning

  • Data & Machine Learning
  • Platform: Terac
  • Location: United States

$90/hrAs published by the platform.

About this job

This study invites machine learning engineers and AI researchers to build test scenarios on a remote reinforcement learning platform. Participants set environmental parameters, define spatial constraints and agent interaction rules, run preliminary agent tests, and then share usability feedback in an interview. It is aimed at people with hands-on experience in simulation design and RL environments.

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 the scenario structure.
  • Document the workflow and highlight platform areas for improvement.

Requirements

Machine Learning

    Pay

    $90/hr

    Pay as published by the platform. It is not a guarantee of income or hours.

    Location

    Open to residents of: United States.

    How to apply

    You apply on Terac's posting: start its screening from the link in the listing. If you qualify, Terac invites you to the paid tasks.

    All Terac jobs and how the platform works

    Source

    Official posting: https://jobs.ashbyhq.com/terac/9f8d7438-ffd8-42be-b169-a46437154c79

    Last checked on October 8, 2026.

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