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10x Team invites a Freelance Infrastructure Optimization Specialist to join our AI training programs, working remotely from EU/UK. The role focuses on reviewing AI-generated infrastructure guidance, validating deployment strategies, and crafting practical examples and risk analyses.
You’ll collaborate with AI labs and engineers on flexible, project-based tasks, 8–20 hours weekly. As part of our freelance network, you will shape how AI reasons about real-world operations, offering concrete
Updated: 07 July 2026
Are you an expert in IT infrastructure and optimization, excited to shape the future of artificial intelligence? Do you want to apply your expertise to training smarter AI models while enjoying flexible, remote freelance work? Join 10x Team as a Freelance Infrastructure Optimization Specialist - AI Trainer and help guide the next generation of AI towards real-world efficiency and resilience.
10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We’re seeking experienced infrastructure optimization specialists, based in the EU or UK, to ensure AI-generated recommendations and workflows are technically valid, efficient, and relevant to real-world practices.
At 10x, there are two types of opportunities:
These are regular project-based opportunities where the listed mission is the actual project you may work on.
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.