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!
