Mathematics And Python Expert Freelance Ai Trainer

Tanqeeb; Kuwait City; Remote; KWD 9,300 - 15,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This freelance role involves designing computational mathematics problems solvable with Python and standard libraries.

Candidates should have a Mathematics degree, strong Python skills, and at least two years of professional experience in applied, research, or teaching contexts.

Qualifications

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

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

NumPy/SciPy

Symbolic computation

Numerical methods

Education

Bachelor's degree in Mathematics

Tools

MATLAB

R

C

SQL

Pandas

Job description

Mathematics And Python Expert Freelance Ai Trainer

Description

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

What this opportunity involves

• 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.