Software Engineer, AI — Code Evaluation & Training (Remote) 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 :- 4+ years of professional software engineering experience in one or more of the following: Python, Java, JavaScript, TypeScript, Go, C++, PHP, COBOL, C, Ruby, or Rust.
(Constraint programming experience is a bonus but not required for all languages.)- 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 strong command of at least one of the following languages: Python, Java, JavaScript, TypeScript, Go, C++, PHP, COBOL, C, Ruby, or Rust.
Logistics :- Location : Fully remote — work from anywhere- Compensation : Up to $30/hr- Hours : Minimum 15 hrs/week, up to 40 hrs/week available- Engagement : contract
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
