AI Trainer (Statistics)

TL;DR

AI Trainer (Statistics): Designing complex computational statistics problems for AI model evaluation with an accent on Python-based numerical validation and advanced mathematical reasoning. Focus on creating non-trivial problems in number theory, combinatorics, and numerical analysis to simulate real-world research workflows.

Location: Remote (US)

Compensation: Up to $73 per hour

Company

hirify.global connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

What you will do

• Design original computational statistics problems simulating mathematical research workflows.
• Create problems requiring Python programming for solution validation using libraries like Numpy and SciPy.
• Develop tasks involving non-trivial reasoning in number theory, combinatorics, graph theory, and numerical analysis.
• Ensure problems are computationally intensive and require automated validation.
• Document problem statements clearly and provide verified correct answers.

Requirements

• Degree in Statistics or related fields.
• 2+ years of professional experience in applied, research, or teaching roles.
• Proficiency in Python for numerical validation or equivalent experience in R, MATLAB, or SQL.
• Strong written English (C1+ level required).
• Must be based in the United States.

Nice to have

• Professional certifications such as CMME, SAS, or CAP.
• Experience in international or applied research projects.

Culture & Benefits

• Flexible, project-based work arrangement.
• Estimated workload of 10–20 hours per week during active project phases.
• Opportunity to contribute to cutting-edge AI development and evaluation.

Hiring process

• Submit CV in English.
• Pass qualification assessments.
• Join project and complete tasks.