Job Description
**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 **Python**
(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.
**Tech Stack**:
We are looking for engineers with a strong command of **Python**.
**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
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 **Python**
(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.
**Tech Stack**:
We are looking for engineers with a strong command of **Python**.
**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
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