
Senior Infrastructure Optimization Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote
Job Overview
Location
UK
Job Type
Contract
Category
Product Management
Date Posted
June 13, 2026
Full Job Description
đź“‹ Description
- • Review and enhance AI-generated content on infrastructure optimization, systems architecture, and deployment strategies to ensure technical accuracy and operational viability
- • Assess AI-driven infrastructure scenarios and recommendations for efficiency, realism, and alignment with real-world engineering practices
- • Develop practical use cases, scenario variations, and risk assessments based on hands-on experience in IT infrastructure and systems operations
- • Identify gaps, flawed assumptions, or inefficiencies in AI outputs and provide detailed, actionable feedback to improve model reasoning
- • Create role-specific infrastructure scenarios tailored for engineers, architects, and stakeholders to test AI understanding across organizational levels
- • Contribute to training datasets that shape how AI models reason about infrastructure optimization, automation, and operational excellence
- • Collaborate within a structured freelance environment with concise project briefs and clear deliverables for AI Lab missions
- • Maintain reliable communication and meet deadlines within an 8–20 hour weekly commitment
- • Apply expertise in modern infrastructure strategies, including automation tools, deployment pipelines, and scalable system design
- • Ensure AI-generated recommendations reflect current industry standards and avoid theoretical or impractical solutions
- • Participate in onboarding to understand AI Lab protocols, confidentiality requirements, and feedback frameworks
- • Contribute to the development of AI models that better understand real-world infrastructure challenges faced by enterprise teams
- • Work remotely with no fixed start date; project matching is demand-driven and contingent on AI Lab needs and niche expertise
- • Access free professional development resources through the company’s AI Academy to stay current with evolving AI and infrastructure trends
🎯 Requirements
- • Experienced IT infrastructure specialist, systems architect, or operations lead with a record of optimizing, maintaining, and scaling complex systems
- • Based in the EU or UK
- • Demonstrated expertise in modern infrastructure strategies, automation, and operational excellence
- • Highly organized, proactive, and skilled at delivering clear, constructive feedback
- • Available 8–20 hours per week and reliable in communication
🏖️ Benefits
- • Flexible, project-based freelance work—100% remote
- • Use your infrastructure expertise to help build better, more efficient AI models
- • Shape AI’s understanding of real-world operational and optimization challenges
- • Free access to our AI Academy for ongoing professional development
- • Structured onboarding, concise project briefs, and collaborative environment
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About 10Xteam Inc.
10Xteam is a talent acquisition platform designed to help companies build high-performing remote teams. It focuses on streamlining the hiring process for engineering and tech roles, enabling businesses to find, vet, and onboard top talent efficiently. The platform leverages AI and data-driven insights to match candidates with suitable positions, reducing time-to-hire and improving the quality of hires. By offering a comprehensive solution for remote recruitment, 10Xteam aims to empower organizations to scale their workforce with skilled professionals globally, fostering a culture of innovation and productivity.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities

Vonage Holdings Corp.
3 months ago

Rubrik, Inc.
1 month ago
14 hours ago

Worldwide Holdings Corporation
29 days ago
