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G2i

Software Engineer, AI (.NET + Docker)

Posted 10 Hours Ago
In-Office or Remote
207 Locations
Mid level
In-Office or Remote
207 Locations
Mid level
The role involves training large-language models by evaluating and improving code, requiring strong software engineering, detailed code review skills, and effective communication.
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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