Mathematics & Python Expert – Freelance AI Trainer

Mindrift; Arizona; On-site; USD 83,000 - 105,000; Part time

Job summary

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

Contributors will design original computational mathematics problems, implement Python solutions (NumPy, SciPy, SymPy), and verify results. The role suits mathematicians with 2+ years of experience and strong English, for part-time, non-permanent work.

Qualifications

• Degree in Mathematics (Pure or Applied) or related fields.
• Proficient in Python for numerical validation; knowledge of MATLAB, R, and relevant libraries.
• 2+ years of professional experience: applied, research, or teaching.
• Experience with numerical methods and symbolic computation.
• Ability to design problems mirroring real mathematical research workflows.
• Familiarity with computational complexity theory.
• Strong written English (C1+)

Responsibilities

• Design original computational mathematics problems simulating 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

Numerical validation

Symbolic computation

Computational complexity theory

English proficiency

Education

Mathematics (Pure or Applied) or related fields

Tools

Numpy

SciPy

Pandas

SymPy

MATLAB

R

C

Job description

Please submit your CV in English and indicate your level of English proficiency. 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

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 an 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;
• Strong written English (C1+)

How It Works

Apply Pass qualification(s) Join a project Complete tasks Get paid

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 $76 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.