Statistician with Python - Freelance AI Trainer

Mindrift; Remote; SAR 200,000 - 300,000; Part time

Job summary

A tech-driven company is seeking an AI Tutor in Statistics to enhance AI model capabilities. This remote role allows you to generate prompts, evaluate AI responses, and leverage your expertise in statistical methodologies. Applicants should possess at least a degree in Statistics and advanced English proficiency. Enjoy flexible working hours and competitive pay, contributing to cutting-edge AI projects while working on your schedule.

Benefits

Competitive hourly rate up to $39

Flexible work schedule

Remote work opportunity

Qualifications

• Advanced level of English (C1) or above.
• Professional experience in statistical methodologies and data analysis.
• Expertise in various statistical methods like regression analysis and hypothesis testing.

Responsibilities

• Generate challenging prompts for AI.
• Define scoring criteria to evaluate AI responses.
• Adjust model responses based on expertise.

Skills

Statistical modeling

Data analysis

Python proficiency

Machine learning

Bayesian Statistics

Applied Statistics

Education

Bachelor's, Master's or PhD Degree in Statistics or relevant area

Tools

Pandas

NumPy

SciPy

Statsmodels

Scikit-learn

Job description

Overview

AtMindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. The Mindrift platform connects specialists with AI projects from major tech innovators.

Eligibility

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.

About the Role

GenAI models are improving 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.

Responsibilities

• 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.

Effort estimate

Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

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

• Get paid for your expertise, with rates that can go up to $39/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.

Qualifications

• 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.

Logistics

The role is fully remote, so you just need a laptop, internet connection, time available, and enthusiasm to take on a challenge.