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Home/Jobs/Mathematics & Python Expert - Freelance AI Trainer
Mindrift logo
Mindrift

Mathematics & Python Expert - Freelance AI Trainer

🇸🇦 Saudi Arabia, Saudi Arabia🏠 Remote
MathematicsPythonAI TrainingNumpySciPySympyFreelanceProblem Solving
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Is Mine Getting Through?

60 seconds. $3.99 one-time.

Salary:$0-$35/mo
Mindrift logo
Mindrift
50-250 employees

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 $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.

Requirements

  • •Degree in Mathematics (Pure or Applied) or related fields
  • •Python proficiency for numerical validation
  • •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
  • •Strong written English (C1+)

Nice to Have

  • •MATLAB, R, C, SQL, Pandas, Stata knowledge
  • •Familiarity with computational complexity theory

Responsibilities

  • •Design computational mathematics problems simulating research workflows
  • •Create problems requiring Python programming (Numpy, SciPy, Sympy)
  • •Develop problems requiring non-trivial reasoning chains
  • •Base problems on real research challenges or practical applications
  • •Verify solutions using Python
  • •Document problem statements clearly
  • •Provide verified correct answers

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Are You in the 25%?
  • Check if Mindrift will actually see your resume
  • Get AI-rewritten bullet points
  • Download Gulf-ready CV
Is Mine Getting Through?

60 seconds. $3.99 one-time.

Salary
$0 - $35/mo
GCC Info
Company
Mindrift logo
Mindrift
50-250 employees

Mindrift offers AI-driven platforms to enhance recruitment processes and improve employee engagement. It caters to human resources departments and hiring managers.

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