Python Mathematician for AI Challenge Design - Part Time

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Kuwait City

On-site

KWD 11,000 - 15,000

Part time

10 days ago
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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 design original computational mathematics problems, create Python-based solutions using Numpy/SciPy/Sympy, and verify solutions. Tasks are typically 10–20 hours per week during active phases and compensation is up to $35 per hour depending on level and pace.

Qualifications

  • Degree in Mathematics or related field.
  • Python proficiency for numerical validation.
  • 2+ years of professional experience.
  • Experience with numerical methods and symbolic computation.

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.
  • 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
Mathematics
Numerical methods
Symbolic computation

Education

Bachelor's degree in Mathematics

Tools

Numpy
SciPy
SymPy
Pandas
MATLAB
R
SQL

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 design original computational mathematics problems, create Python-based solutions using Numpy/SciPy/Sympy, and verify solutions. Tasks are typically 10–20 hours per week during active phases and compensation is up to $35 per hour depending on level and pace.

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