Mathematics & Python Expert - Freelance AI Trainer
Mindrift offers remote, project-based AI opportunities for specialists in mathematics and programming, focused on designing and validating advanced computational math problems to strengthen AI systems. Contributors engage as independent project workers, typically committing 10–20 hours per week during active periods. Compensation can reach up to $35/hour, with rates varying by project scope and expertise; other projects may offer different pay rates.
Successful candidates will have a degree in Mathematics or a related field, at least 2 years’ experience in applied or academic settings, and proficiency in Python (or equivalent programming languages/libraries such as Numpy, Pandas, or SciPy). Strong written English (C1+), experience with numerical methods, symbolic computation, and relevant problem-design abilities are required.
Applicants should submit their CV in English and specify their English proficiency level. Participation involves a qualification process, and workload depends on active project phases—hours and assignments are not guaranteed.
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.
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