Software Engineer AI Coding Tasks

We're looking for experienced software engineers to build AI coding tasks from a codebase they know well. US$1,000 per task, and you can do as many tasks as you want.You turn a real change from a repository you know into a task that today's best AI coding models struggle with: hard for the models, but fair for a skilled engineer. Your tasks are used to measure and train AI coding models.Remote, any location. US$1,000 per task that passes review. Minimum of one task a week, about 10 hours a week.How it worksApply. Complete a short screener interview and upload your resume.Propose. Once you're selected, pick a change from a repository you know and submit a short proposal. We approve it or suggest a better candidate.Build. In our platform, set up the repository as it was before the change, then write the brief, the correct solution and the grading checks.Stress-test. Try lazy, incorrect and shortcut solutions and make sure your checks catch them.Model testing. Run your task against leading AI models until strong models often fail but a skilled engineer can clearly solve it.Review. A reviewer checks your task and you revise it. Most tasks take more than one round.Next task. Once your task is accepted, start another.Requirements2+ years of professional software engineeringCode merged into a public open-source repository, ideally one you know well. A private codebase you own may also qualify (not employer or client code)Strong in at least one of Python, TypeScript, Go, Rust, Java or C++Solid with Docker, Linux, Git and automated testingRegular use of an AI coding toolExperience writing tests, rubrics or evaluation criteria, ideally for AI modelsYou can explain a change clearly and concisely, in your own wordsAt least 10 hours a week, starting nowA secure personal or work computer (no public or shared machines)Nice to haveDeep expertise in one area, such as databases, compilers, distributed systems, security or infrastructureExperience building agent tasks or RL environmen