Golang/Go Software 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.

Responsibilities

• Design Reinforcement Learning Environments for AI model testing
• Create tasks involving bug fixes, feature implementation, code refactoring, or performance optimization
• Develop reproducible environments and deterministic verification methods
• Build golden reference solutions to 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 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

Schedule

Contractor role (~15 hours a week). Experts must submit a minimum number of tasks per week.

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.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding.