Mathematics And Python Expert Freelance Ai Trainer

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

Mathematics And Python Expert Freelance Ai Trainer

What this opportunity involves

While each project involves unique tasks, contributors may:

• 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 (days/weeks);
• 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.

What we look for

This opportunity is a good fit for mathematicians with experience in Python open to part‑time, non‑permanent projects. Ideally, contributors will have:

• Degree in Mathematics (Pure or Applied) or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Experience with numerical methods and symbolic computation;
• Ability to design problems that mirror real mathematical research workflows;
• Familiarity with computational complexity theory;

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.