Data Architect - AI Trainer - Freelance - 8-20hrs/week

Das ist der Job

Evaluate responses for architectural soundness, scalability, and compliance with real-world requirements.

Darum lohnt es sich

Join 10x Team and make a difference in how advanced AI models reason about data architecture at scale. About Us 10x Team connects seasoned freelance experts with world-leading AI labs developing the next generation of AI models. Why Join 10x Team?

Updated: 07 July 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Are you a senior data architect with a sharp eye for spotting gaps in data architecture and a strong grasp of building robust data systems? Do you want to leverage your expertise to help AI learn the realities of data architecture, all while enjoying flexibility and remote work?

We are searching for experienced data architects based in the EU or UK to ensure our AI-generated solutions are industry-relevant, comprehensive, and realistic. Key Responsibilities: Review and refine AI-generated content related to data architecture, system design, data integration, and realistic architectural scenarios.

Draft scenarios based on your hands-on professional experience in data architecture. Create scenario variations from multiple perspectives (e.g., data architect, engineer, business stakeholder, client). Identify gaps, oversights, or weak reasoning in AI-generated outputs and provide structured feedback.

In plain terms: Your job is to apply and communicate your data architecture expertise, ensuring AI systems learn from authentic, practical, and accurate real-world examples. Rather than directly designing systems, you'll help AI model how architects think and solve problems.

About You: Senior-level data architect with substantial professional experience. You must be located in the EU or UK to be eligible. Proven ability to advise on, prepare, and execute data architecture projects or enterprise solutions. Skilled at reviewing architectural approaches, data integration, and ensuring compliance.

Works independently and provides structured, actionable feedback. Available 8–20 hours per week and able to respond promptly. Flexible, remote freelance work that fits around your commitments. Apply your data architecture expertise in a cutting-edge, impactful AI environment. Directly shape the future of AI-powered data architecture systems.

Free access to our AI Academy to further develop your AI skillset. Structured onboarding, clear briefs, and opportunities for ongoing collaboration.

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. Become a vital contributor to the next generation of AI-driven data architecture.

Apply now! ----------------------------------------- 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.