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G2i

.NET Software Engineer, AI

Posted 5 Days Ago
In-Office or Remote
207 Locations
30-70
Mid level
In-Office or Remote
207 Locations
30-70
Mid level
Developers will help train LLMs by evaluating and improving code, providing feedback for reinforcement learning, and ensuring code correctness and efficiency.
The summary above was generated by AI

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

List of accepted countries and locations

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
  • 3+ years of professional software engineering experience in .NET
    (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 .NET and Docker.

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

.Net,Docker

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