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 systems. 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, Python proficiency for numerical validation, 2+ years of professional experience, Experience with numerical methods, Experience with symbolic methods, Ability to design problems that mirror real mathematical research, Familiarity with computational complexity, written English (C1+)
Nice to Have
MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, 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 non-trivial reasoning
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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