Remote Quantitative Modeler & AI Trainer — Freelance

10x Team; España; Remote; EUR 44,083,000 - 75,768,000; Full time

Job summary

10x Team is seeking a Freelance Quantitative Modeler – AI Trainer to work 8–20 hours per week, remotely within the EU or UK. You will review AI-generated outputs, refine quantitative scenarios, and develop practical examples, providing clear feedback.

This role suits experienced data scientists or analytics experts seeking flexible, project-based work with global AI labs. Join a network that connects top independent experts with AI labs to accelerate data-driven reasoning and complex modeling

Qualifications

• Experienced quantitative modeler with a strong track record in developing mathematical models.
• Skilled in data interpretation, analytics, and decision support.
• Able to review AI-generated outputs and provide actionable feedback.

Responsibilities

• Review and refine AI-generated outputs related to quantitative modeling, analytics, and data interpretation
• Assess the technical accuracy and feasibility of AI-driven modeling scenarios
• Develop practical examples, use cases, and risk assessments from your quantitative experience
• Create scenario variations for varying modeling roles – data scientists, quantitative analysts, risk modelers
• Identify errors, gaps, or risks in AI-generated suggestions, providing actionable, constructive feedback
• Directly shape how AI models reason about quantitative logic, best practices, and industry requirements

Skills

Quantitative modeling

Data science

Analytics

Job description

10x Team is seeking a Freelance Quantitative Modeler – AI Trainer to work 8–20 hours per week, remotely within the EU or UK. You will review AI-generated outputs, refine quantitative scenarios, and develop practical examples, providing clear feedback.

This role suits experienced data scientists or analytics experts seeking flexible, project-based work with global AI labs. Join a network that connects top independent experts with AI labs to accelerate data-driven reasoning and complex modeling