This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What we do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Statistics, you’ll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

Generate prompts that challenge AI.
Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers.
Correct the model’s responses based on your domain-specific knowledge.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.

You hold a Bachelor's, Master’s or PhD Degree in Statistics, Biostatistics, Econometrics and/or in a relevant area.
You have professional experience in one of the following fields: Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, Economic Statistics, Experimental Design (DOE) & A/B Testing, Generalized Linear Models (GLMs), Hypothesis Testing, Machine Learning (e.g., Classification, Regression, Clustering), Probability Theory, Statistical Modeling, Time Series Analysis.
Your level of English is advanced (C1) or above.
Expertise in statistical modeling and data analysis, including areas such as descriptive and inferential statistics, regression analysis, experimental design, and machine learning.
Proficiency in Python, with experience using libraries such as Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn.
Strong ability to design creative and diverse problems, particularly those that are computationally intensive and go beyond simple parameter modifications.
You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.

Why this freelance opportunity might be a great fit for you?

Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs.
Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
Work on advanced AI projects and gain valuable experience that enhances your portfolio.
Influence how future AI models understand and communicate in your field of expertise.

Statistician with Python - Freelance AI Trainer

Job Description