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Quantitative Modeler, AI Trainer (Remote)

10x Team
Remote
Spain· 3 months ago

Straight from 10x Team’s careers page. Apply on the company site — no recruiter, no middleman.

Quantitative Modeler - AI Trainer - Freelance - 8-20 hrs/week - Remote

Department: Technology & Product

Location: Spain

Compensation: €88 – €160 per hour

Employment Type: Contract

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?

  • Flexible, project-based freelance assignments – 100% remote

  • Influence AI’s ability to solve real-world quantitative problems

  • Access to the 10x Team AI Academy for your ongoing learning

  • Structured onboarding, clear project briefs, and a supportive freelance community

 

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.

 

Step into the future of AI-driven quantitative modeling – apply today!

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NOTE

At 10x, there are two types of opportunities:

 

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
For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities.

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.

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