Research & Systems Programmer — AI Code Evaluation & Training (Remote)

Now prioritizing candidates with a research, simulation, or systems focus!

List of accepted countries and locations

If you’ve worked in academic labs, simulation environments, or low-level performance engineering, this role is built for you.

Help train large-language models (LLMs) to write clean, high-performance scientific code.

Your expertise will support this feedback loop:

• Compare & rank AI-generated code used in scientific or data-heavy environments

• Repair & refactor code in MATLAB, Zig, or related tools

• Inject feedback to help the model learn how to reason through complex logic

End result: The model gets better at working in research, simulation, or performance-critical domains.

What You’ll Need

• 3+ years of software engineering experience in Python

• Familiarity with MATLAB (academic/research) or Zig (low-level performance)

• Ability to assess and explain code quality with precision

• Excellent written communication and attention to detail

• Comfortable in async, remote workflows

What You Don’t Need

• No RLHF or machine learning experience required

Tech Stack

We're looking for strength in MATLAB, Zig, or scientific computing tools.

Logistics

• Location: Fully remote — work from anywhere

• Compensation: $30–$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!