Software Engineer, AI (Python)

Remote

G2i Inc.

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Software Engineer, AI — Code Evaluation & Training (Remote)

Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:

  • 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 and keep it running smoothly.
    End result: the model learns to propose, critique, and improve code the way you do.

RLHF in one line
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

  • 4+ years of professional software engineering experience in Python
    (Constraint programming experience is a bonus, but not required)

  • 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. This cannot be overstated.

  • 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!

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Tags: Engineering LLMs Machine Learning Python Reinforcement Learning RLHF Security

Region: Remote/Anywhere

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