Updated: 07 July 2026
Freelance | 8–20 hrs/week | Remote (EU/UK)

Quantitative Modeler – AI Trainer – Freelance – 8–20 hrs/week – Remote (EU/UK)

Freelance | 8–20 hrs/week | Remote (EU/UK)

Are you an experienced quantitative modeler eager to shape the next generation of AI systems? Join 10x Team as a Freelance Quantitative Modeler – AI Trainer and leverage your expertise to help train advanced AI models, all while working flexibly and remotely.

About Us:
10x Team connects top independent experts with innovative AI labs to accelerate the evolution of artificial intelligence. We’re searching for skilled quantitative modelers residing in the EU or UK to improve and guide AI’s approach to data-driven reasoning and complex modeling challenges.

Key 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

About You:
- Experienced quantitative modeler, data scientist, or analytics expert with a strong record of developing and applying mathematical models in business or research contexts
- Based in the EU or UK
- Deep knowledge of advanced analytics, model building, and data-driven decision making
- Methodical, analytical, and able to deliver clear, actionable feedback
- Available 8–20 hours per week and comfortable with remote collaboration

Why Join 10x Team?
- Adaptable, project-based freelance assignments – 100% remote
- Influence AI’s ability to solve real-world quantitative problems
- Access to the 10x Te

📌 Quantitative Modeler (Madrid)
🏢 10x Team
📍 Madrid