Task-Based AI Engineering Projects

I’m collaborating with top AI research labs and need seasoned engineers who can pick up well-scoped tasks from our backlog, implement them to a high standard, and submit merge-ready code. Every task is independent: once your pull request passes our quality review and automated tests, you earn US $1,000. Some tasks take a few hours, others a few days—you decide how many you tackle. You will mostly work in Python, though much of our stack also touches TypeScript, Go, Rust, Java, and C++. If you are confident writing idiomatic, unit-tested Python and have at least five years of professional software experience, you’ll ramp up quickly. A history of merging code into open-source projects or maintaining a private repository you control is expected; links to those commits or repos will help us verify craftsmanship and code style. Workflow is entirely remote. Accept a task, discuss edge-cases with a reviewer in Slack, push to our GitHub, iterate on feedback, then move on to the next item whenever you have bandwidth. I ask only that you reserve roughly ten hours a week so we can plan review cycles smoothly, but you are free to exceed that whenever you want to boost earnings. Deliverables for each assignment are straightforward: • Clean, well-documented code pushed to the designated branch. • Passing unit and integration tests provided (or new tests when required). • A concise pull-request description explaining design choices. If you thrive on autonomous work, enjoy writing elegant, reliable Python, and want the flexibility to earn per accepted deliverable, send over your résumé and links to representative repositories. Let’s build cutting-edge AI infrastructure together.