Description

You design complex computational statistics problems for AI training datasets, ensuring they require non-trivial reasoning and cannot be solved manually within reasonable timeframes.

This role is remote.

Responsibilities

• Design original problems simulating real mathematical research workflows.
• Create complex Python solutions using NumPy, SciPy, and Sympy.
• Develop problems requiring deep reasoning in number theory, combinatorics, graph theory, and numerical analysis.
• Base problem creation on real research challenges or industry scenarios.
• Verify solution accuracy and document clear statements with comprehensive explanations.

Required Skills

• Strong background in Statistics and Statistical Modeling.
• Proficiency in Python, NumPy, SciPy, and Pandas.
• Experience in Mathematical Research and Data Analysis.
• Ability to design computational problems requiring non-trivial reasoning chains.
• Strong written English proficiency (C1+ level).
• Degree in Statistics or a related field.

Preferred Skills

• Experience with MATLAB, R, C, SQL, Stata, or Sympy.
• Knowledge of number theory, combinatorics, graph theory, and numerical analysis.

Key Skills

Education

Any Graduate