Part-Time Mathematician & Python Expert for AI Projects

Mindrift

Minnesota

On-site

USD 55,000 - 105,000

Part time

14 days+
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Benefits offered by this job

Up to $76/hour

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a part-time, project-based role not involving permanent employment.

Contributors design computational mathematics problems requiring Python programming with Numpy, SciPy, and SymPy, ensuring solutions are verifiable and well-documented. Tasks are ~10–20 hours weekly during active phases.

Qualifications

  • Degree in Mathematics (Pure or Applied) required.
  • Proficient in Python for numerical validation.
  • 2+ years of professional experience in applied, research, or teaching contexts.
  • Experience with numerical methods and symbolic computation.
  • Familiarity with computational complexity theory.
  • Strong written English (C1+) required.

Responsibilities

  • Design original computational mathematics problems that simulate real mathematical research workflows.
  • Create Python-based problems requiring NumPy/SciPy/Sympy to solve.
  • Ensure problems are computationally intensive and non-trivial to solve manually.
  • Develop problems mirroring real research workflows and practical applications.
  • Verify solutions using Python with standard mathematical libraries.
  • Document problem statements clearly and provide verified correct answers.

Skills

Python proficiency
Experience 2+ years
Strong English (C1+)

Education

Degree in Mathematics (Pure or Applied)

Tools

MATLAB
R
C
SQL
NumPy
Pandas
SciPy
Stata

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a part-time, project-based role not involving permanent employment.

Contributors design computational mathematics problems requiring Python programming with Numpy, SciPy, and SymPy, ensuring solutions are verifiable and well-documented. Tasks are ~10–20 hours weekly during active phases.

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