RL Tool Gym Engineer — Part-Time, $120/hr

Terac; United States; A distancia; USD 152.000 - 179.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote collaboration

Part-time schedule

Descripción de la vacante

Terac is seeking an RL environment engineer to build tool-based environments (tool gyms) for knowledge work applications. This paid engagement focuses on creating robust simulation frameworks where models can learn to interact with complex software tools.

You will work about 20 hours per week, writing code to simulate tasks, and participate in remote check-ins to discuss architecture decisions and troubleshoot blockers.

Formación

• Hands-on experience in reinforcement learning environments.
• Built or maintained custom RL environments or tool gyms.

Responsabilidades

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

Conocimientos

Reinforcement Learning

Custom RL Environments

Herramientas

Gym frameworks

Descripción del empleo

Terac is seeking an RL environment engineer to build tool-based environments (tool gyms) for knowledge work applications. This paid engagement focuses on creating robust simulation frameworks where models can learn to interact with complex software tools.

You will work about 20 hours per week, writing code to simulate tasks, and participate in remote check-ins to discuss architecture decisions and troubleshoot blockers.