RL Environment Engineer — Tool Gym Architect (Part-Time)

Visa Hunt; United States; On-site; USD 152,000 - 179,000; Part time

Job summary

Terac is seeking an RL environment engineer to develop tool-based environments for knowledge work simulations and reinforcement learning training pipelines. You will write modular code and refine environment mechanics while collaborating remotely on architecture decisions and progress check-ins.

The role targets specialized ML professionals with hands-on RL experience and the ability to commit to roughly 20 hours per week. Compensation is $120 per hour.

Qualifications

• Specialized ML professionals with hands‑on experience in reinforcement learning environments.
• Potential candidates include RL engineers, AI researchers, simulation developers, and ML infrastructure specialists.
• Able to commit to approximately 20 hours per week.

Responsibilities

• Design and implement tool-based environments for knowledge work simulations.
• Write clean and modular code to support reinforcement learning training pipelines.
• Troubleshoot and refine environment mechanics based on testing feedback.
• Collaborate asynchronously and participate in remote progress check-ins.

Skills

Reinforcement learning

Simulation development

Remote collaboration

Tools

Custom RL environments

Job description

Terac is seeking an RL environment engineer to develop tool-based environments for knowledge work simulations and reinforcement learning training pipelines. You will write modular code and refine environment mechanics while collaborating remotely on architecture decisions and progress check-ins.

The role targets specialized ML professionals with hands-on RL experience and the ability to commit to roughly 20 hours per week. Compensation is $120 per hour.