Python Developer - 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.

Responsibilities

• Design reproducible Reinforcement Learning Environments for AI model testing.
• Implement deterministic verification and golden reference solutions.
• Fix bugs, implement features, refactor code, and optimize performance in software engineering tasks.
• Ensure environments accurately measure MCP tool use and software engineering ability.

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 a 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 the development of software best practices.

Pay

Compensation is output-based; experts are paid per task that meets the project specifications. Minimum submission requirements apply (experts must submit a minimum of tasks per week).

Schedule

• Contractor role (~15 hours per week).
• Start timeline: Roles typically fill within 48 hours; selected experts must start tasks within 24-48 hours of completing onboarding.