Mindrift
Mathematics&PythonExpert-FreelanceAITrainer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Mathematics & Python Expert - Freelance AI Trainer at Mindrift. Skills: Mathematics, Python, AI training. Design computational mathematics problems. Create problems requiring Python programming”
Industry & Context.
non-trivial reasoning chains
What They're Looking For.
Must Have
Degree in Mathematics (Pure or Applied) or related, 2+ years of professional experience: applied, research, or teaching experience, Experience with numerical methods and symbolic, Ability to design problems that mirror real mathematical research, Familiarity with computational complexity, written English (C1+)
Nice to Have
Python proficiency for numerical validation, MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language
What You'll Do.
Design computational mathematics problems
Create problems requiring Python programming
Ensure problems are computationally intensive
Develop problems requiring reasoning chains
Base problems on real research challenges
Verify solutions using Python
Document problem statements clearly
Provide verified correct answers
How You'll Work.
Communication Scope
written English (C1+)
Full 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
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