Evaluate AI-generated code for correctness and design, write hard coding problems with reference solutions and test cases, and review how a model reasons about architecture, debugging and system design. Asks for a year at a top technology company and a base in an English-speaking country. Remote contractor work at the top of this board's pay range.
Build reinforcement learning environments that test whether an AI model can fix bugs, add features, refactor code and tune performance in real repositories, then write the golden reference solution it is graded against. Public open-source contributions are the requirement, not AI experience. Remote contractor work, roughly 15 hours a week.
Design the coding benchmarks that decide whether a frontier AI model can actually reason, debug and ship production code, and build the data pipelines behind those evaluations. A three-month remote hourly contract, full-time availability preferred.
Build reinforcement learning environments that test whether an AI agent can fix bugs, implement features, refactor and optimise code while discovering and reasoning over information from real MCP servers. You design the reproducible environment, the deterministic verification and the golden reference solution. Remote contractor work, roughly 15 hours a week, hours of your choosing.
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