Software Engineer, AI (Python, Science background)

Now prioritizing Python programmers with a science background! List of accepted countries and locations If you have experience in fields like Physics, Chemistry, Biochemistry, Biology, Environmental Science, GIS, or Medicine—whether through a degree, certificate, or industry work—we encourage you to apply. Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages. You'll play a key role in the human feedback loop: • Compare & rank multiple code snippets, explaining which is best and why. • Repair & refactor AI-generated code for correctness, efficiency, and style. • Inject feedback (ratings, edits, test results) into the RLHF pipeline to keep it running smoothly. End result: The model learns to propose, critique, and improve code the way you do. What is RLHF? Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need • 3+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required) • Science background — education or work experience in one of the following areas is a strong plus: Physics, Chemistry, Biochemistry, Biology, Environmental Science, GIS, or Medicine • Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly. • Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. • You enjoy reading documentation and language specs, and thrive in an asynchronous, low-oversight environment. What You Don’t Need • No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. • No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Python. Logistics • Location: Fully remote — work from anywhere • Compensation: From $30/hr to $70/hr, depending on location and seniority • Hours: Minimum 15 hrs/week, up to 40 hrs/week available • Engagement: 1099 contract Straightforward impact. Zero fluff. If this sounds like a fit, apply here! Apply Job! Apply to this Job