Software Engineer, AI (Python, Science background)
Now prioritizing Python programmers with a science background!
List of accepted countries and locations
If you have experience in fields like Physics, Chemistry, Biochemistry, Biology, Environmental Science, GIS, or Medicine—whether through a degree, certificate, or industry work—we encourage you to apply.
Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages.
You'll play a key role in the human feedback loop:
• 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 to keep it running smoothly.
End result: The model learns to propose, critique, and improve code the way you do.
What is RLHF?
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)
• Science background — education or work experience in one of the following areas is a strong plus:
Physics, Chemistry, Biochemistry, Biology, Environmental Science, GIS, or Medicine
• 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.
• 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!
Apply Now
Apply Now
List of accepted countries and locations
If you have experience in fields like Physics, Chemistry, Biochemistry, Biology, Environmental Science, GIS, or Medicine—whether through a degree, certificate, or industry work—we encourage you to apply.
Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages.
You'll play a key role in the human feedback loop:
• 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 to keep it running smoothly.
End result: The model learns to propose, critique, and improve code the way you do.
What is RLHF?
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)
• Science background — education or work experience in one of the following areas is a strong plus:
Physics, Chemistry, Biochemistry, Biology, Environmental Science, GIS, or Medicine
• 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.
• 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!
Apply Now
Apply Now