Part-Time Mathematics & Python Problem Designer

Mindrift

Arizona

On-site

USD 83,000 - 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. Participation is project-based, not permanent employment.

Contributors will design original computational mathematics problems, implement Python solutions (NumPy, SciPy, SymPy), and verify results. The role suits mathematicians with 2+ years of experience and strong English, for part-time, non-permanent work.

Qualifications

  • Degree in Mathematics (Pure or Applied) or related fields.
  • Proficient in Python for numerical validation; knowledge of MATLAB, R, and relevant libraries.
  • 2+ years of professional experience: applied, research, or teaching.
  • Experience with numerical methods and symbolic computation.
  • Ability to design problems mirroring real mathematical research workflows.
  • Familiarity with computational complexity theory.
  • 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 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.

Skills

Python programming
Numerical validation
Symbolic computation
Computational complexity theory
English proficiency

Education

Mathematics (Pure or Applied) or related fields

Tools

Numpy
SciPy
Pandas
SymPy
MATLAB
R
C

Job description

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

Contributors will design original computational mathematics problems, implement Python solutions (NumPy, SciPy, SymPy), and verify results. The role suits mathematicians with 2+ years of experience and strong English, for part-time, non-permanent work.

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