System Operations Specialist for AI System Improvement

10x.team โ€ข Netherlands
Remote
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AI Summary

We are seeking experienced system operations specialists to improve advanced AI systems. The role involves reviewing and refining AI-generated responses, evaluating technical accuracy, and assessing AI reasoning. This is a freelance position with flexible hours, fully remote, and available 8-20 hours per week.

Key Highlights
Review and refine AI-generated responses
Evaluate technical accuracy and AI reasoning
Assess AI system operations and best practices
Key Responsibilities
Review and refine AI-generated responses related to system operations, troubleshooting, and infrastructure management
Evaluate outputs for technical accuracy, reliability, and alignment with industry best practices
Draft realistic scenarios covering incident response, system maintenance, monitoring, automation, and optimization within diverse environments
Technical Skills Required
System operations Infrastructure management Cloud platforms Incident management Automation Monitoring Security Compliance
Benefits & Perks
Flexible hours
Fully remote
Clear scope and structured onboarding

Job Description


Freelance | 8โ€“20 hrs/week | Remote (EU/UK)

Are you a system operations specialist interested in applying your expertise in a new and impactful way? Do you have 8 to 20 hours per week to contribute, even alongside other professional commitments? We are seeking experienced professionals based in the EU or UK to help improve advanced AI systems.

What Youโ€™ll Be Doing

We are 10x.team, a platform for fractional and freelance professionals. We partner with leading AI labs to enhance large AI systems.

Your Role Is Practical And High Impact. You Will

  • Review and refine AI generated responses related to system operations, troubleshooting, and infrastructure management
  • Evaluate outputs for technical accuracy, reliability, and alignment with industry best practices
  • Draft realistic scenarios covering incident response, system maintenance, monitoring, automation, and optimization within diverse environments
  • Assess AI reasoning for operational logic, risk management, compliance, and systems dependencies
  • Identify gaps, misinterpretations, or oversimplified analysis in system operations
  • Create scenario variations from the perspective of different stakeholders, such as systems administrator, operations manager, DevOps engineer, or compliance officer

In Simple Terms

You will assess and improve AI generated content to ensure it reflects real world system operations standards, processes, and best practices.

This is not a traditional IT operations role. Instead of managing live systems, you will help improve how AI systems understand and apply system operations practices at scale. Your insights will directly improve how AI performs on system operations topics.

Who This Is For

  • Systems operations specialists, administrators, DevOps engineers, SREs, or IT operations managers
  • Based in the EU or UK
  • With substantial hands-on experience in system operations, infrastructure management, cloud platforms, or related fields
  • Experienced with incident management, automation, monitoring, security, compliance, and operational best practices
  • Comfortable identifying risks, procedural flaws, or compliance issues in operational scenarios
  • Available 8 to 20 hours per week
  • Able to start in the coming weeks

This role is fully remote and flexible. It pairs well with your other professional or personal commitments.

Why Join

  • Flexible hours
  • Fully remote
  • Apply your system operations expertise in the field of AI
  • Contribute to improving widely used AI systems
  • Clear scope and structured onboarding
  • Potential for longer term collaboration based on performance

Screening process

The process is straightforward and fully guided. After applying, you will complete:

  • A short AI based interview
  • A brief written evaluation focused on system operations scenarios and reasoning
  • A compliance check to verify your identity and professional background

If approved, you will be onboarded and can start shortly after.


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