Project-Based AI Trainer: Statistics & Python Expert

Explore more jobs; Kuwait City; On-site; KWD 9,800 - 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. Participation is project-based, not permanent employment.

As a Statistics And Python Expert Freelance AI Trainer, you will design statistics problems, write Python-based solutions with Numpy/SciPy/Sympy, and verify results. This is a part-time, non-permanent project role with variable workload.

Qualifications

• Degree in statistics or related fields.
• Python proficiency for numerical validation.
• 2+ years of professional experience: applied, research, or teaching experience is applicable.
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and international project experience are a plus.

Responsibilities

• Design original computational statistics problems simulating real mathematical research workflows.
• Create problems requiring Python programming to solve using Numpy, SciPy, Sympy.
• Ensure problems are computationally intensive and not solvable manually within days or weeks.
• Develop problems needing non-trivial reasoning in number theory, combinatorics, graph theory, 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.

Skills

Python proficiency

Statistics

Numerical validation

Research experience

Education

Degree in statistics or related fields

Tools

Numpy

Pandas

SciPy

Sympy

Job description

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

As a Statistics And Python Expert Freelance AI Trainer, you will design statistics problems, write Python-based solutions with Numpy/SciPy/Sympy, and verify results. This is a part-time, non-permanent project role with variable workload.