Remote RL Scenario Architect

Terac; United States; On-site; USD 106,000 - 143,000; Full time

Job summary

Terac is seeking AI researchers and ML engineers to design and build scenarios in a remote reinforcement learning platform. You will configure environmental parameters, define agent interaction rules, and test initial agent behaviors to validate your scenario structure.

The role involves documenting workflows, sharing detailed feedback, and participating in an interview to discuss platform usability. Compensation is $90 per hour for this remote study conducted in the United States.

Qualifications

• 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.

Responsibilities

• 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.

Skills

RL expertise

Simulation design

ML research

Remote collaboration

Job description

Terac is seeking AI researchers and ML engineers to design and build scenarios in a remote reinforcement learning platform. You will configure environmental parameters, define agent interaction rules, and test initial agent behaviors to validate your scenario structure.

The role involves documenting workflows, sharing detailed feedback, and participating in an interview to discuss platform usability. Compensation is $90 per hour for this remote study conducted in the United States.