AI Software Engineer Ruby

Helping Train LLMs

Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages. This role involves comparing and ranking multiple code snippets, explaining which is best and why, and repairing or refactoring AI-generated code for correctness, efficiency, and style. You will inject feedback (ratings, edits, test results) into the Reinforcement Learning with Human Feedback (RLHF) pipeline, ensuring it runs smoothly. The ultimate goal is for the model to learn to propose, critique, and improve code the way an expert does.

RLHF Explained

The RLHF process involves generating code, followed by expert engineers ranking, editing, and justifying the code. This feedback is then converted into reward signals, which are used in reinforcement learning to tune the model toward producing code you’d actually ship.

What You’ll Need

• 3+ years of professional software engineering experience in Ruby. 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 specifications 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 is required.
• No deep machine learning knowledge. If you can review and critique code clearly, G2i Inc. will teach you the rest.

Tech Stack

We are looking for engineers with a strong command of Ruby.

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!

Key skills/competency

• Ruby
• Code Review
• LLM Training
• Software Engineering
• Attention to Detail
• Written Communication
• Refactoring
• Debugging
• Code Quality
• Asynchronous Work