Statistics & Python Expert - Freelance AI Trainer

Explore more jobs; Kuwait; On-site; KWD 10,000 - 17,000; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies. You will design computational statistics problems and create Python solutions using Numpy, SciPy, and Sympy.

Tasks emphasize challenging, non-manual workloads with clear documentation and verified answers. Ideal candidates hold a statistics degree, have Python proficiency for numerical validation, and possess 2+ years of applicable experience.

Qualifications

• Degree in Statistics or related field required.
• 2+ years of professional experience in statistics or data science.
• Strong Python programming and numerical validation skills.

Responsibilities

• Design computational statistics problems that simulate research workflows.
• Create Python-based problems requiring Numpy, SciPy, or Sympy.
• Ensure problems are computationally intensive and non-trivial.
• Document problem statements and provide verified answers.

Skills

Python

Statistics

Numpy

SciPy

Pandas

Sympy

Numerical validation

English proficiency

Education

Degree in Statistics or related field

Tools

MATLAB

R

C

SQL

Job description

Statistics & Python Expert - Freelance AI Trainer

Industry Artificial Intelligence and Data Science Solutions

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 an 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; Strong written English (C1+); Professional certifications (e. g., CMME, SAS Certifications, CAP) 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.

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.