Mathematics & Python Problem Designer (Part-Time)

Mindrift; Iowa (LA); On-site; USD 63,000 - 105,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

You will design original computational mathematics problems, create Python-based solutions, verify results with standard libraries, and clearly document problem statements and answers.

Qualifications

• Degree in Mathematics (Pure or Applied) or related fields.
• Python proficiency for numerical validation.
• 2+ years of professional experience: applied, research, or teaching experience is applicable.
• Experience with numerical methods and symbolic computation.
• Ability to design problems that mirror real mathematical research workflows.
• Familiarity with computational complexity theory.
• Strong written English (C1+)

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 (days/weeks).
• 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

Skills

Python proficiency

2+ years of professional experience

Numerical methods

Symbolic computation

Problem design

Computational complexity theory

Strong written English

Education

Degree in Mathematics (Pure or Applied) or related fields

Tools

MATLAB

R

C

SQL

Numpy

Pandas

SciPy

Stata

Domain-specific libraries

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

You will design original computational mathematics problems, create Python-based solutions, verify results with standard libraries, and clearly document problem statements and answers.