Statistician with Python - Freelance AI Trainer

Mindrift

Austin (TX)

Remote

USD 82,965 - 118,163

Full time

14 days+

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Job summary

A company specializing in AI opportunities is seeking professionals in statistics to evaluate and improve AI systems. Responsibilities include designing rigorous statistics problems, validating solutions using Python, and applying structured scoring criteria. Candidates should have a degree in Statistics or related field, over 3 years of experience, and strong English skills. This project-based opportunity offers flexible working hours and competitive pay rates up to $73 per hour, depending on expertise and project requirements.

Qualifications

  • Degree in Statistics, Probability Theory, or related field is required.
  • 3+ years of professional experience in mathematics.
  • Proficiency in Python for numerical validation is essential.

Responsibilities

  • Design statistics problems reflecting professional practices.
  • Evaluate AI solutions for correctness and assumptions.
  • Validate calculations using Python libraries.

Skills

Statistical analysis
Python programming
Problem-solving
English proficiency (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
  • 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
  • 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
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