Statistician & AI Trainer

Mindrift; Remote; USD 80,000 - 100,000; Part time

Job summary

A project-based AI opportunity firm is seeking statisticians for part-time non-permanent projects. Candidates should have a degree in Statistics or related fields, at least 3 years of experience, and strong Python proficiency for numerical validation. Responsibilities include designing statistics problems, validating AI solutions, and applying structured criteria to problems. Competitive pay rates up to $73/hour are available based on expertise and project specifics.

Qualifications

• Degree in Statistics or related fields such as Probability Theory.
• 3+ years of professional mathematics experience.
• Strong written and professional level of English.

Responsibilities

• Design rigorous statistics problems and evaluate AI solutions.
• Validate calculations using Python for numerical validation.
• Apply structured scoring criteria to multi-step problems.

Skills

Statistical problem design

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

English proficiency (C1/C2)

Mathematical evaluation

Education

Degree in Statistics or related fields

Job description

Overview

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 $73/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