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 : 1099 contract
or continue with email
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 : 1099 contract
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