Part-Time Math & Python Pro for AI Problem Design

Mindrift; Pennsylvania; On-site; USD 86,000 - 123,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies. Contributors will design computational math problems, generate Python-based solutions, and verify results for real research challenges.

Ideal candidates hold a Mathematics degree, have Python proficiency, 2+ years of relevant experience, and strong written English. This is a part-time, non-permanent, project-based engagement with flexible scheduling.

Qualifications

• Degree in Mathematics (Pure or Applied) or related fields.
• Python proficiency for numerical validation.
• 2+ years of professional experience in applied, research, or teaching roles.
• Experience with numerical methods and symbolic computation.
• Strong written English (C1+).

Responsibilities

• Design original computational mathematics problems simulating real mathematical research workflows.
• Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).
• Ensure problems are computationally intensive and not solvable manually within days or weeks.
• Develop problems needing non-trivial reasoning in 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

Mathematics

Python programming

English communication

Education

Bachelor's degree in Mathematics or related field

Tools

Python

MATLAB

R

C

SQL

NumPy

Pandas

SciPy

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies. Contributors will design computational math problems, generate Python-based solutions, and verify results for real research challenges.

Ideal candidates hold a Mathematics degree, have Python proficiency, 2+ years of relevant experience, and strong written English. This is a part-time, non-permanent, project-based engagement with flexible scheduling.