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Quantitative Modeler, AI Trainer
10x.TeamFreelance Quantitative Modeler working remotely with 10x Team, improving AI's data-driven reasoning and modeling challenges. Experience required to train advanced AI models and provide feedback.
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
quantitative modelinganalyticsdata interpretationAI-driven modelingmodel buildingadvanced analyticsdata-driven decision makingrisk assessmentsscenario variationsmathematical models
Soft Skills
methodicalanalyticalclear communicationactionable feedbackconstructive criticismremote collaboration