Mathematics & Python Specialist for AI Problem Design

Mindrift; North Carolina; On-site; USD 63,000 - 105,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies. This role involves designing mathematical problems, creating Python-based solutions, and verifying results for real research workflows.

Expect about 10–20 hours per week during active phases. The ideal candidate has a Mathematics degree, 2+ years experience, Python expertise (NumPy/SciPy, etc.), numerical methods and symbolic computation skills, and very strong English (C1+).

Qualifications

• Degree in Mathematics (Pure or Applied) or related fields.
• 2+ years of professional experience in applied, research, or teaching contexts.
• Experience with numerical methods and symbolic computation.
• Ability to design problems mirroring real mathematical research workflows.
• Strong written English (C1+).

Responsibilities

• Design original computational mathematics problems simulating real mathematical research workflows.
• Create problems requiring Python programming (NumPy, SciPy, Sympy) to solve.
• Ensure problems are computationally intensive and not solvable manually within days/weeks.
• Develop problems requiring 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

Python proficiency

Numerical methods

Symbolic computation

Problem design

English (C1+)

Education

Degree in Mathematics (Pure or Applied) or related fields

Tools

Python

NumPy

SciPy

Pandas

MATLAB

R

SQL

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies. This role involves designing mathematical problems, creating Python-based solutions, and verifying results for real research workflows.

Expect about 10–20 hours per week during active phases. The ideal candidate has a Mathematics degree, 2+ years experience, Python expertise (NumPy/SciPy, etc.), numerical methods and symbolic computation skills, and very strong English (C1+).