RL Environment Engineer – Tool Gym Builder

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Terac

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Market Research

Terac is automating market research by sourcing participants, conducting interviews, and analyzing results in hours rather than weeks. Utilizing advanced AI technology, it enables companies to gain deep insights through interviews with a diverse audience. Terac emphasizes efficiency and speed in delivering comprehensive market research solutions, making it an invaluable tool for businesses seeking rapid feedback and data-driven decision-making.

📋 Description

• 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 • Develop and test new tool environments • Write code to simulate knowledge work tasks and ensure realistic, stable agent interactions • Iterate on environment designs based on model performance and technical feedback • Discuss architecture decisions and troubleshoot implementation blockers

🎯 Requirements

• Professional experience as a machine learning or reinforcement learning engineer • Hands-on background building custom RL environments or tool gyms • Ability to commit to approximately 20 hours of work per week • Comfortable discussing technical architecture and implementation strategies • Specialized machine learning experience in reinforcement learning environments • Experience as an RL engineer, AI researcher, simulation developer, or machine learning infrastructure specialist

🏖️ Benefits

• Paid engagement • Remote work arrangement • Approximately 20 hours per week / part-time schedule • Remote video check-ins