Freelance AI Trainer: Advanced Statistics & Python

Employment; Doha; On-site; QAR 125,000 - 196,000; Full time

Job summary

Employment is seeking a Statistics & Python Expert - Freelance AI Trainer to design and implement computational statistics problems for research workflows. You will create Python-based challenges using NumPy, SciPy, and SymPy to ensure heavy computation and non-trivial reasoning, backed by verified solutions.

You will document problems clearly and adapt tasks to real research or practical applications, while maintaining strong English communication and collaboration on international projects.

Qualifications

• Degree in Statistics or related field.
• Proficiency in Python for numerical validation with libraries (NumPy, SciPy, SymPy).
• 2+ years of professional experience in applied, research, or teaching contexts.
• Strong written English (C1+).

Responsibilities

• 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.
• 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.

Skills

Python programming

NumPy/SciPy

SymPy

Mathematical modeling

Education

Degree in Statistics

Tools

MATLAB

R

Pandas

SciPy

SQL

Job description

Employment is seeking a Statistics & Python Expert - Freelance AI Trainer to design and implement computational statistics problems for research workflows. You will create Python-based challenges using NumPy, SciPy, and SymPy to ensure heavy computation and non-trivial reasoning, backed by verified solutions.

You will document problems clearly and adapt tasks to real research or practical applications, while maintaining strong English communication and collaboration on international projects.