Math & Python Problem Designer for AI Research (Part-Time)

Mindrift

Austin (TX)

On-site

USD 63,000 - 105,000

Part time

14 days+

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Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a part-time, non-permanent engagement and candidates should submit their CV in English with their level of English proficiency.

Contributors design computational mathematics problems, implement solutions in Python (with Numpy/SciPy/Sympy), and verify results.

Qualifications

Degree in Mathematics (Pure or Applied) or related field.
Proficiency in Python for numerical validation.
2+ years of professional experience in math-related roles.
Experience with numerical methods and symbolic computation.
Ability to design problems that mirror real mathematical research workflows.

Responsibilities

Design original computational mathematics problems that simulate real mathematical research workflows.
Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).
Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
Base problems on real research challenges or practical applications from mathematical practice.
Verify solutions using Python with standard mathematical libraries.
Document problem statements clearly and provide verified correct answers.