Freelance Statistician with Python Experience - AI Trainer

Mindrift; United Kingdom; On-site; GBP 20,327 - 43,704; Part time

Job summary

A project-based AI opportunity provider is seeking statisticians for part-time, non-permanent projects in the UK. Ideal candidates will possess a Degree in Statistics, 3+ years of professional experience, and strong Python proficiency for numerical validation. Participants will design statistical problems and evaluate AI solutions. Compensation is competitive, with rates up to $43/hour based on expertise. This opportunity involves flexible project commitments, providing significant opportunities to enhance AI systems.

Qualifications

• Degree in Statistics or related fields, e.g., Probability Theory, Mathematical Statistics.
• 3+ years of professional mathematics experience.
• Strong Python proficiency for numerical validation.

Responsibilities

• Design rigorous statistics problems reflecting professional practice.
• Evaluate AI solutions for correctness, assumptions, and constraints.
• Validate calculations or simulations using Python.

Skills

Statistical analysis

Python for numerical validation

Strong written English (C1/C2)

Education

Degree in Statistics or related fields

Tools

NumPy

Pandas

SciPy

Statsmodels

Scikit-learn

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 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 $43/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