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G2i

Software Engineer, AI (Python, Science background)

Posted 10 Hours Ago
In-Office or Remote
207 Locations
Mid level
In-Office or Remote
207 Locations
Mid level
The role involves improving LLMs by comparing, ranking, and refactoring AI-generated code, using expertise in Python and a science background for effectiveness.
The summary above was generated by AI

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!

Top Skills

Python

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