Mercor is looking to solve the problem of connecting elite creative and technical talent with leading AI research labs, specifically in the areas of LLMs, RL, and infrastructure for advanced agent systems.
Requirements
- Background in machine learning, reinforcement learning, or related coursework.
- At least 1–2 LLM or RL-related projects (e.g., shared on GitHub).
- Proficiency with Docker, CLI tooling, and GitHub project management.
- Experience building integrations and working with data pipelines/analytics.
- Comfortable with both engineering-heavy and research-oriented tasks.
- Ability to navigate ambiguous requirements in fast-moving environments.
- Prior team or research lab experience is a strong plus.
Responsibilities
- Build and maintain GitHub-based project infrastructure, including CI/CD workflows.
- Set up and manage environments with Docker and containerized services.
- Develop and integrate coding tool environments for agents using CLI and APIs.
- Contribute to reinforcement learning and LLM research experiments and prototypes.
- Handle data collection, preprocessing, and analytics for ML projects.
- Collaborate asynchronously with researchers and adapt to evolving project requirements.
- Document infrastructure, pipelines, and experimental results clearly and reproducibly.
Other
- Commitment: ~35 hours/week
- Remote and flexible, with optional monthly visits to the Mercor SF office.
- Project-based, with potential for extensions based on research needs.
- Contractors classified as independent freelancers.
- Submit your resume and links to relevant project work (e.g., GitHub repositories, Docker setups).
