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MIcro1 is seeking a remote, part-time contractor to help train next-generation AI systems by building Reinforcement Learning Environments using MCP tools. You will design environments and reference solutions to measure MCP tool usage and software engineering ability.
Responsibilities include fixing bugs, implementing features, refactoring code, and optimizing performance while collaborating with cross-functional teams in a remote setting.
This job is with our partner MIcro1.
Tasks
Job Type: Contractor (~15 hrs a week)
Location: Remote
Schedule: Flexible, you pick the hours and days (including weekends if desired)
Job Summary: 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. No prior experience in AI is required — your domain knowledge is what matters.
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.
Requirements
Required Skills and Qualifications:
Process:
Salarisomschrijving
USD 60-120 per hour
Dienstverband:
Type vacature: Intern