We are running a paid project focused on creating and validating complex coding tasks for AI systems. The goal is to build realistic, self-contained software engineering problems that push the boundaries of automated coding agents. Your contributions will directly improve how these systems navigate real-world development environments.
You will design intricate software problems that an AI agent must solve within a remote terminal environment. This involves implementing features, debugging codebases, configuring Docker containers, and writing deterministic automated tests. You will also create reference solutions to ensure every task can be graded reliably and accurately. Participants work independently to verify that each problem is challenging, solvable, and completely self-contained.
We welcome experienced software engineers who are highly comfortable working independently in unfamiliar codebases. You should have strong command-line skills, proficiency with GitHub, and experience writing clean tests. Candidates with a background in complex debugging, system configuration, or automated testing are highly encouraged to apply.
New