Software Engineer, AI, Ruby

About the Role

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 Ruby
• 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 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

Key skills/competency

• Ruby Programming
• Code Review
• Debugging & Troubleshooting
• Code Refactoring
• AI/LLM Training
• Technical Writing
• Asynchronous Communication
• Problem-Solving
• Attention to Detail
• Reinforcement Learning (RLHF)