Statistics & Python Expert - Freelance AI Trainer - Mindrift
Pubblicato il 02-10-2026 - Mindrift in Turbigo
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 statistics 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 statistics specialists with an experience in python open to tempo parziale, non-permanent projects. Ideally, contributors will have:
- Degree in Statistics 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;
- Strong written English (C1+);
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage;
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