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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 Java
* (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.
We are looking for engineers with a strong command of Java.
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!
Seniority level
* Seniority levelEntry level
Employment type
* Employment typeContract
Job function
* Job functionInformation Technology
* IndustriesSoftware Development
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