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.

• 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.

• 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.

We are looking for engineers with a strong command of Python.

• 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!