Freelance AI Trainer: Math & Python Problem Designer

Explore more jobs; Kuwait City; On-site; KWD 12,000 - 17,000; Part time

Job summary

Explore more jobs is seeking a Mathematics And Python Expert Freelance Ai Trainer to design and verify computational math problems using Python. You will craft tasks that require NumPy, SciPy, and SymPy, simulating real research workflows and providing verified solutions.

The role is part-time and non-permanent, with projects that suit mathematicians comfortable with numerical methods, symbolic computation, and research‑level reasoning. Remote work is not specified.

Qualifications

• Degree in Mathematics (Pure or Applied) or related field.
• Python proficiency for numerical validation using NumPy/SciPy/SymPy.
• 2+ years of professional experience: applied, research, or teaching experience.
• Experience with numerical methods and symbolic computation.
• Ability to design problems that mirror real mathematical research workflows.

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

Mathematics

Numerical methods

Symbolic computation

Research/teaching experience

Education

Degree in Mathematics

Tools

NumPy

SciPy

SymPy

MATLAB

R

SQL

Job description

Explore more jobs is seeking a Mathematics And Python Expert Freelance Ai Trainer to design and verify computational math problems using Python. You will craft tasks that require NumPy, SciPy, and SymPy, simulating real research workflows and providing verified solutions.

The role is part-time and non-permanent, with projects that suit mathematicians comfortable with numerical methods, symbolic computation, and research‑level reasoning. Remote work is not specified.