Rust Engineer - Remote

About the role

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. As an expert, you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Contract position (~15 hrs a week), remote.

Responsibilities

• Design reproducible Reinforcement Learning Environments for AI model testing.
• Create deterministic verification and golden reference solutions.
• Fix bugs, implement features, refactor code, and optimize performance in software engineering tasks.
• Measure AI model performance using MCP tools and real-world input.

Requirements

• Proficiency in C++, Python, Java, GoLang, TypeScript, or Rust.
• Deep understanding of algorithms, data structures, and performance tuning.
• Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development and codebase refactoring.
• Proven ability to optimize software for performance and scalability.
• Exceptional written and verbal communication skills, with keen attention to detail.
• Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications

• Previous experience working on large-scale, distributed codebases.
• Familiarity with modern AI or machine learning systems (a plus, though not required).
• Background in participating in rigorous code reviews and contributing to software best practices.

Pay

Compensation is output-based; experts are paid per task that meets project specifications. The time required to complete work may vary depending on experience and workflow. Minimum submission requirements apply.

Schedule

We typically fill roles within 48 hours and expect experts to start tasks within 24-48 hours of completing onboarding. Experts must submit a minimum number of tasks per week.