AI Statistics Expert (Python) - Part-Time, Project-Based

Mindrift; Austin (TX); On-site; USD 61,000 - 101,000; Part time

Benefits offered by this job

Up to $73 per hour

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This role is project-based and not permanent employment, offering flexible engagements.

Contributors design rigorous statistics problems, evaluate AI solutions for correctness, and validate calculations using Python. Prior experience in python and statistics is valued, with potential for multiple projects and compensation on an hourly basis.

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

Strong Python proficiency

Strong written English

3+ years of professional mathematics

Stable internet connection

Education

Degree in Statistics or related fields

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This role is project-based and not permanent employment, offering flexible engagements.

Contributors design rigorous statistics problems, evaluate AI solutions for correctness, and validate calculations using Python. Prior experience in python and statistics is valued, with potential for multiple projects and compensation on an hourly basis.