Statistics Expert (Python) – Freelance AI Trainer

Mindrift; Missouri; On-site; USD 61,000 - 101,000; Full time

Job summary

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.

Selected contributors will design statistics problems, evaluate AI solutions, validate calculations with Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn), and apply scoring criteria across multi-step tasks. This engagement is hourly and flexible.

Qualifications

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

Responsibilities

• 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.

Skills

Python proficiency

English proficiency

Statistics/Mathematics

Education

Degree in Statistics or related field

Tools

NumPy

Pandas

SciPy

Statsmodels

Scikit-learn

Job description

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

• 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.

Compensation

On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.