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.

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+).

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., On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.

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