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

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

Model Validation Analyst – AI Trainer (Freelance, 8–20 hrs/week, Remote EU/UK)

Are you an experienced professional in model validation or quantitative risk management? Would you like to shape how artificial intelligence systems learn to evaluate complex financial and analytical models? Join 10x Team and help teach AI what rigorous model validation looks like, all while working flexibly and remotely.

About Us 10x Team connects experienced freelance experts with leading AI labs to develop advanced AI models. We’re seeking model validation specialists based in the EU or UK who can ensure our AI-generated outputs align with practical, industry-relevant standards and reflect real-world expertise.

Key Responsibilities:

• Review and refine AI-generated content related to model risk management, quantitative analysis, and model validation processes

• Evaluate the realism, industry alignment, and validity of analytical approaches suggested by AI

• Draft scenarios, case studies, and technical examples based on your professional experience

• Create scenario variations representing multiple perspectives, such as model validators, risk managers, and regulators

• Identify unrealistic assumptions, analytical flaws, or compliance gaps in AI-generated material and provide clear, actionable feedback

Simply put: You’ll leverage your background in model validation or quantitative analytics to help AI better reason about what makes financial, analytical, or risk models effective and robust in real-world situations.

About You:

• Senior professional with hands-on experience in model validation, quantitative risk, or a closely related discipline

• Based in the EU or UK

• Demonstrated expertise reviewing model performance, validation frameworks, and risk control processes

• Highly organized and able to communicate constructive, direct feedback clearly

• Available 8–20 hours per week with consistent, timely responses

Why Join 10x Team?

• Flexible, project-based freelance work—entirely remote

• Use your validation expertise to improve vital next-generation AI systems

• Direct impact: teach AI how to evaluate and understand complex models

• Free access to our AI Academy to broaden your skillset

• Structured onboarding, clear briefs, and ongoing collaboration opportunities

How to Apply:

After applying, you’ll receive an email detailing the steps to:

• ⁠Complete a short written assessment

• Participate in an AI-powered interview

Important: Your application is only complete once you finish all steps via the email link.

Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project.

Help shape the future of AI-driven model validation—apply today!

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NOTE

At 10x , there are two types of opportunities (inhouse-jobs at 10x excluded):

1. Traditional freelance missions These are regular project-based opportunities where the listed mission is the actual project you may work on.

2. AI Lab roles to get access to the 10x platform For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities and once approved you will get access to the 10x platform.

The missions listed for AI Lab roles are not traditional job openings . AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent.

Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise.

This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.