Statistics & Python Expert - Freelance Ai Trainer
Pubblicato il 09-08-2026 - Mindrift in Bardi
Please submit your CV in English and indicate your level of English proficiency.
Le seguenti informazioni forniscono una panoramica delle competenze, delle qualità e delle qualifiche necessarie per questo ruolo.
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 InvolvesWhile 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 ForThis 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 WorksApply ->Pass qualification(s) ->Join a project ->Complete tasks ->Get paid
Project time expectationsFor this project, tasks are estimated to require around ***** 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.
CompensationOn this project, contributors can earn up to$34 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise.
xysqume Please note that other projects on the platform may offer different earning levels based on their requirements.
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