Statistics And Python Expert Freelance Ai Trainer

Tanqeeb; Kuwait City; Remote; KWD 13,000 - 17,000; Part time

Job summary

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

Contributors design and validate computational statistics problems using Python libraries such as Numpy, SciPy, and Sympy, and document statements with verified solutions. Part-time, non-permanent engagement is expected.

Qualifications

• Degree in statistics or related field.
• Python proficiency for numerical validation.
• 2+ years of professional experience in applied, research, or teaching roles.
• Certifications (e.g., CMME, SAS) and international project experience are a plus.

Responsibilities

• Design original computational statistics problems using Python.
• Create problems requiring Python programming with Numpy/SciPy/Sympy.
• Verify solutions using Python with standard mathematical libraries.
• Document problem statements clearly and provide verified correct answers.

Skills

Python

Statistics

Problem design

Communication

Education

Degree in statistics

Tools

Numpy

Pandas

SciPy

Sympy

Job description

Statistics And Python Expert Freelance Ai Trainer

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

While each project involves unique tasks, contributors may:

• Design original computational statistics problems that simulate real mathematical research workflows;
• Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
• Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;
• Base problems on real research challenges or practical applications from mathematical practice;
• Verify solutions using Python with standard mathematical libraries;
• Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in statistics or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

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.

Compensation

On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.