5 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. List of accepted countries and locations 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 level Entry level Employment type
Employment type Contract Job function
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