Mindrift

Statistics&PythonExpert-FreelanceAITrainer

$0–0k Mexico; India PART TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Statistics & Python Expert - Freelance AI Trainer at Mindrift. Skills: Statistics, Python. Design original computational statistics problems that simulate real mathematical research. Create problems requiring Python programming to solve”

Industry & Context.

Problems you'll solve

Develop problems requiring non-trivial reasoning chains

What They're Looking For.

Must Have

Degree in Statistics or related, Python proficiency for numerical validation, 2+ years of professional experience: applied, research, or teaching experience, written English (C1+)

Nice to Have

MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language, Professional certifications (e. g. , CMME, SAS Certifications, CAP), experience in international or applied projects

What You'll Do.

Design original computational statistics problems that simulate real mathematical research

Create problems requiring Python programming to solve

Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes

Develop problems requiring non-trivial reasoning chains in areas like number theory

and numerical analysis

Base problems on real research challenges or practical applications from mathematical fields

Verify solutions using Python with standard mathematical libraries

Document problem statements clearly and 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 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 part-time, 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

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