Rust Jobs for Rustaceans

Key Responsibilities
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 Rust
• (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 Rust.
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!