Statistician & AI Trainer

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

Job summary

A leading tech consultancy is offering part-time, project-based opportunities for statisticians in the United States. Ideal candidates should have a degree in Statistics or related fields, with strong English and Python proficiency. Tasks include designing statistics problems, evaluating AI solutions, and validating simulations. This position allows for flexible hours, estimated at 10-20 hours per week during active project phases, with rates up to $73/hour depending on expertise and project requirements.

Qualifications

• Degree in Statistics or related fields.
• 3+ years of professional mathematics experience.
• Strong written English proficiency at C1/C2 level.
• Strong Python skills for numerical validation.
• Stable internet connection is necessary.

Responsibilities

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

Skills

Strong written English (C1/C2)

Python proficiency for numerical validation

Experience in statistics

Experience in mathematical statistics

Strong analytical skills

Education

Degree in Statistics or related fields

Tools

NumPy

Pandas

SciPy

Statsmodels

Scikit-learn

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