Mathematics & Python Problem Designer (Part-Time)

Mindrift

Dallas (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, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

The role involves designing computational mathematics problems, Python programming with Numpy/SciPy/Sympy, and verifying solutions. Tasks are project-based and typically require around 10–20 hours per week during active phases.

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