Freelance Quant Modeler & AI Trainer (Remote)

10x Team B.V; España; A distancia; EUR 69.000 - 165.000; A tiempo parcial

Descripción de la vacante

10x Team connects top independent experts with innovative AI labs to accelerate artificial intelligence. We are seeking a Freelance Quantitative Modeler – AI Trainer to review AI outputs, refine quantitative modeling, and develop practical examples on a remote, part-time basis (8–20 hrs/week) across the EU/UK.

Ideal candidates have a proven track record in mathematical modeling and data-driven decision making, with strong communication skills and the ability to provide actionable feedback.

Formación

• 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 and able to work remote.
• Deep knowledge of advanced analytics, model building, and data-driven decision making.
• Available 8–20 hours per week and comfortable with remote collaboration.

Responsabilidades

• 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 feedback.
• Directly shape how AI models reason about quantitative logic, best practices, and industry requirements.

Conocimientos

Quantitative modeling

Data science

Analytics

Descripción del empleo

10x Team connects top independent experts with innovative AI labs to accelerate artificial intelligence. We are seeking a Freelance Quantitative Modeler – AI Trainer to review AI outputs, refine quantitative modeling, and develop practical examples on a remote, part-time basis (8–20 hrs/week) across the EU/UK.

Ideal candidates have a proven track record in mathematical modeling and data-driven decision making, with strong communication skills and the ability to provide actionable feedback.