Remote Freelance Quantitative Modeler & AI Trainer

10xteam; España; A distancia; EUR 11.020 - 27.552; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

AI Academy access

Structured onboarding

Freelance community support

Descripción de la vacante

10x Team is seeking a freelance Quantitative Modeler – AI Trainer to help shape AI systems by reviewing and refining AI-generated quantitative outputs. This role emphasizes data-driven reasoning, risk assessment, and practical example development, all performed remotely.

Ideal candidates are seasoned data scientists or analytics experts based in the EU or UK, capable of delivering clear feedback and working 8–20 hours per week.

Formación

• Experience building and applying mathematical models in business or research contexts.
• Based in the EU or UK.
• Strong 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.

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

Conocimientos

Quantitative modeling

Data analytics

Feedback delivery

Remote collaboration

Industry context

Descripción del empleo

10x Team is seeking a freelance Quantitative Modeler – AI Trainer to help shape AI systems by reviewing and refining AI-generated quantitative outputs. This role emphasizes data-driven reasoning, risk assessment, and practical example development, all performed remotely.

Ideal candidates are seasoned data scientists or analytics experts based in the EU or UK, capable of delivering clear feedback and working 8–20 hours per week.