AI Summary
We are seeking an experienced Network & Infrastructure Security Analyst to partner with leading AI research teams and labs. The ideal candidate will have hands-on knowledge of enterprise security and be able to analyze realistic network, endpoint, and email security scenarios. This is a rare opportunity to sit at the intersection of cybersecurity and frontier AI.
Key Highlights
Analyze realistic network, endpoint, and email security scenarios
Classify incidents, misconfigurations, and control failures
Create, label, and validate security training and evaluation datasets
Key Responsibilities
Analyze realistic network, endpoint, and email security scenarios
Review firewall, EDR, and infrastructure security cases
Classify incidents, misconfigurations, and control failures
Technical Skills Required
Benefits & Perks
Fully remote and flexible work arrangement
Task-based contract with potential for ongoing and extended engagement
Contribute to meaningful work that makes AI security smarter and more reliable
Nice to Have
Experience with threat hunting, incident response, or red/blue team operations
Familiarity with cloud security (AWS, Azure, GCP) or zero-trust architecture
Job Description
Network & Infrastructure Security Analyst (AI Training)
About The Role
We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now, we're looking for experienced infrastructure and network security practitioners to bring real-world expertise to the next generation of AI-driven security systems.
Your hands-on knowledge of enterprise security — firewalls, EDR, SIEMs, and beyond — will directly shape how AI understands, reasons about, and responds to real threats. This is a rare opportunity to sit at the intersection of cybersecurity and frontier AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic network, endpoint, and email security scenarios drawn from modern enterprise environments
- Review firewall, EDR, and infrastructure security cases to identify what went wrong and why
- Classify incidents, misconfigurations, and control failures using real operational data
- Create, label, and validate security training and evaluation datasets that directly improve AI security systems
- Clearly explain root causes, threat logic, and business impact in structured formats
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- 2+ years of hands-on experience in network, infrastructure, or endpoint security
- Solid familiarity with firewalls, EDR platforms, email security, IAM, SIEMs, and enterprise security tooling
- Strong understanding of how real organizations deploy and operate security controls
- Ability to communicate complex security issues clearly, concisely, and with business context
- Detail-oriented, self-directed, and comfortable working asynchronously
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- Experience with threat hunting, incident response, or red/blue team operations
- Familiarity with MITRE ATT&CK, CIS Controls, or similar frameworks
- Background in cloud security (AWS, Azure, GCP) or zero-trust architecture
- Prior experience contributing to AI, data labeling, or security research projects
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — set your own schedule and work at your own pace
- Task-based contract with potential for ongoing and extended engagement
- Contribute to meaningful work that makes AI security smarter and more reliable
- Collaborate with a global network of domain experts across security and AI
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