Research & Systems Programmer -- AI Code Evaluation & Training (Remote)
Job Description
Job Description
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!
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