Freelance Statistics Expert with Python Expertise - AI Trainer

Mindrift; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A tech consulting company in Germany is seeking statisticians for project-based AI opportunities. This role involves evaluating AI solutions, designing statistics problems, and applying structured scoring criteria. Ideal candidates should hold a degree in Statistics or related fields, possess strong Python skills for numerical validation, and have excellent English proficiency. The projects offer flexible hours with competitive pay rates up to $50/hour, based on expertise.

Qualifikationen

• 3+ years of professional mathematics experience.
• Professional certifications are an advantage.
• Stable internet connection required.

Aufgaben

• Design statistics problems reflecting professional practices.
• Evaluate AI solutions for correctness.
• Apply structured scoring criteria to multi-step problems.

Kenntnisse

Experience in Python

Strong written English (C1/C2)

Degree in Statistics or related fields

Ausbildung

Degree in Statistics or related fields

Tools

Python (NumPy, Pandas, SciPy, Statsmodels, Scikit-learn)

Jobbeschreibung

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 isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

• Design rigorous statistics problems reflecting professional practice;
• Evaluate AI solutions for correctness, assumptions, and constraints;
• Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn);
• Improve AI reasoning to align with industry-standard logic;
• Apply structured scoring criteria to multi-step problems.

What we look for

This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc.
• 3+ years of professional mathematics experience
• Strong written English (C1/C2)
• Strong Python proficiency for numerical validation
• Stable internet connection

Professional certifications (e.g., PStat, CAP, SAS Certifications) 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 is an estimate, not a guaranteed workload, and applies only while the project is active.

Payment

• Paid contributions, with rates up to $50/hour*
• Fixed project rate or individual rates, depending on the project
• Some projects include incentive payments

*Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.