Model Validation Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote

10x.Team; Amsterdam; Remote; EUR 83,000 - 124,000; Part time

Benefits offered by this job

Flexible hours

Work from anywhere in the EU/UK

Potential for ongoing collaboration

Job summary

A leading AI consultancy is looking for freelance Model Validation Specialists to ensure AI-generated content meets high standards in quantitative modeling. This remote role requires expertise in model validation and analytics, offering 8–20 flexible hours per week. Ideal candidates have several years of experience in financial modeling and risk analytics, with the ability to provide critical assessments of AI outputs. Join to contribute to impactful AI products and enjoy a flexible freelance commitment.

Qualifications

• Several years' experience in financial modeling, model risk, or data analytics.
• Skilled with modern modeling frameworks and best practices.
• Strong analytical eye for technical flaws or data issues.

Responsibilities

• Review and critique AI-generated outputs related to model validation.
• Assess rigor and accuracy in methodologies and results.
• Draft realistic model validation scenarios across various use cases.
• Draft and enhance realistic validation scenarios across use cases.
• Evaluate AI reasoning on data validation and parameter selection.
• Identify gaps or methodological errors in modeling or analysis.
• Create scenario variations for different stakeholders.

Skills

Model validation

Quantitative analytics

Risk modeling

Statistical tools

Analytical thinking

AI/ML understanding

Data quality assessment

Tools

Python

R

Excel

Job description

Updated: 23 March 2026

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

Are you an expert in model validation or quantitative analytics? Do you want to help shape the next generation of AI tools? 10x Team is looking for freelance Model Validation Specialists in the EU or UK to join our network of fractional professionals and contribute to advancing state-of-the-art AI systems.

What You’ll Do

• Review and critique AI-generated responses and outputs related to model validation, quantitative modeling, and analytics
• Assess rigor and accuracy in methodologies, ensure validity of results, and verify adherence to real-world modeling standards
• Draft and enhance realistic model validation scenarios, spanning use cases such as model risk assessment, stress testing, statistical analysis, and regulatory compliance
• Evaluate AI reasoning on topics like data validation, parameter selection, and scenario evaluation
• Identify gaps, unrealistic conclusions, or methodological errors in modeling or analysis
• Create scenario variations from the perspective of different stakeholders, such as model validators, risk leads, analysts, and business decision makers

In Simple Terms

You will use your validation and analytic expertise to ensure AI-generated content meets the highest standards in quantitative modeling, supporting the improvement of AI systems in financial, analytical, and modeling fields.

Who We're Looking For

• Experienced in model validation, quantitative analytics, or risk modeling
• Based in the EU or UK
• Several years' experience in financial modeling, model risk, or data analytics
• Skilled with modern modeling frameworks, statistical tools, and best practices
• Strong analytical eye for technical flaws, data issues, or unrealistic assumptions
• Available 8–20 hours per week
• Able to start within the next few weeks

This fully remote, flexible freelance role is ideal as a complement to your existing commitments.

Why Join?

• Flexible hours; work from anywhere in the EU/UK
• Apply your modeling validation expertise in innovative AI domains
• Contribute to high-impact, widely used AI products
• Clear scopes and straightforward onboarding
• Potential for ongoing collaboration

Screening Process

After applying, our process includes:

• A short, AI-driven interview
• A brief written assessment focused on validation methodology and reasoning
• Compliance and credential verification

After a successful selection and onboarding, you’ll be eligible to start on upcoming projects as they become available.