RL Environments Specialist job opportunity at xAI.

Home Jobs In Same As Address Tag: Human Data RL Environments Specialist position at xAI


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xAI RL Environments Specialist
Experience: General
Pattern: Remote
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Human Data

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  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 Strong professional experience with React.js (hooks, modern state management, TypeScript preferred) — required Strong professional experience building backend services in Python (FastAPI, Flask, or Django) — required Hands-on experience with containerization (Docker required; Docker Compose/Kubernetes a plus) Strong front-end design skills and exceptionally high taste in UI/UX, polish, and visual detail Proven ability to design a relational database schema in Python and populate it with large-scale, realistic mock data Experience creating and exposing clean, well-documented API endpoints (REST or GraphQL) Exceedingly high standards for code quality, readability, testing, and front-end craftsmanship Extensive day-to-day experience using coding agents / AI assistants as a power user (Cursor, Claude, Copilot, Grok, Aider, etc.) Good understanding of the Reinforcement Learning paradigm (RLHF, PPO, DPO, reward modeling, etc.) 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! Interview Process Technical hands-on live coding round Hiring Manager / Final interview round Location & Other Expectations Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. They may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation US based candidates: $35/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.  International candidates: Information will be provided to you during the recruitment process. Benefits Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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