Mathematics & Python Expert – Freelance AI Trainer

Mindrift; North Carolina; On-site; USD 63,000 - 105,000; Part time

Job summary

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.

Design original computational mathematics problems requiring Python programming (Numpy, SciPy, Sympy) and ensure they are computationally intensive and mirror real research workflows. This is a part-time, non-permanent engagement with compensation up to $76 per hour equivalent.

Qualifications

• Degree in Mathematics (Pure or Applied) or related field.
• Python proficiency for numerical validation.
• 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.
• 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 not solvable manually within days/weeks.
• Develop problems requiring non-trivial reasoning in number theory, combinatorics, graph theory, and numerical analysis.
• Base problems on real research challenges or practical mathematical applications.
• Verify solutions using Python with standard mathematical libraries and document statements and answers clearly.

Skills

Python programming

Numerical methods

Symbolic computation

English writing

Education

Degree in Mathematics

Tools

Numpy

SciPy

Pandas

MATLAB

Job 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

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

What We Look For

• 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+)

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.