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.

Requirements

3+ years of professional software engineering experience in Java
Strong code-review instincts—able to 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.
Enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.
No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience required.
No deep machine learning knowledge required.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Javacode reviewcode refactoringproduction-grade codelogic error detectionperformance optimizationsecurity issue identificationattention to detailwritten communication

Soft skills

explanation skillsasynchronous worklow oversight adaptability