Software Engineer, AI (Python)
Descrição da Vaga
**Software Engineer, AI — Code Evaluation \& Training (Remote)** **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 * **3\+ 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 Straightforward impact, zero fluff. If this sounds like a fit, apply here!
Vaga originalmente publicada em: linkedin
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