Role OverviewDesign challenging computational problems to test AI systems' ability to solve scientific and engineering tasks. Collaborate with AI research teams to improve problem setups and solution validators. Work independently in a Linux/terminal environment with remote compute sandboxes.
What You Will Do
Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages. Test and refine problems against state-of-the-art AI models to achieve target difficulty.
Why It Might Be a Fit
Must have graduate-level training in statistics, applied mathematics, or a relevant STEM field. Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
Requirements
- Graduate-level training in statistics, applied mathematics, or a relevant STEM field
- Proven proficiency with at least one specialized statistical, mathematical, or scientific software package
- Strong Python skills
- Ability to work independently and refine problem designs based on feedback
- Available for at least 15–20 hours per week
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