About the Role
We need talented engineers that will create full RL environments (UI, backend, programmatically generate tasks and validation) for training computer use agents. This means that we need you to take ownership of the entire task creation process for a given environment.
In this role, you will
- Build sandbox UIs that our agents and RL actors will interact with.
- Create tasks for built environments and programmatically validate task completion.
- Enjoys working remotely
Qualifications
- Full stack engineer. Exact tech stack does not matter as long as you have experience in the following areas:
- Containerisation
- Front-end design
- Creating a Python backend DB and populating it with realistic mock data
- Exposing endpoints
- Exceedingly high taste in code quality and front-end design.
- Extensive experience with using coding agents from the consumer side.
- Understanding of the RL paradigm.
Preferred Qualifications
- Posses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment.
- Eager to teach to and learn from teammates.
- Enthusiasm to collaboratively build the best truth-seeking AI out there!
Compensation and Benefits
- The pay for this role may range from USD $35/hour - $100/hour.
- Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: location, job-related knowledge and skills, education, and experience.
- Top performers may be considered for MTS positions within xAI.
