Software Engineer, AI (Python, Science background)

Job Description

Job Description

Now prioritizing Python programmers with a science background!
List of accepted countries and locations

If you have experience in scientific or technical fields—either through a degree, certificate, or relevant industry work—we encourage you to apply.

We’re especially interested in candidates with backgrounds in the following domains and subdomains:

• Mathematics: Numerical Linear Algebra, Computational Mechanics, Computational Finance

• Physics: Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics

• Chemistry: Quantum Chemistry, Computational Chemistry

• Biology: Ecology, Biochemistry, Genetics

• Material Science: Semiconductor Materials, Molecular Modeling

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)

• Scientific background in one or more of the domains or subdomains listed above

• Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.

• Excellent written communication and attention to detail—most of this role is articulating why one approach is better than another.

• Comfortable working 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!