Analyze network, endpoint, and email security scenarios to improve AI systems. 2+ years of experience in network, infrastructure, or endpoint security required. Strong knowledge of firewalls, EDR platforms, email security, IAM, and SIEMs.
Key Highlights
Key Responsibilities
Technical Skills Required
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Job Description
Network & Infrastructure Security Analyst (AI Training)
About The Role
We're partnering with the world's leading AI research teams to build next-generation security intelligence — and we need experienced practitioners to help get it right. As a Network & Infrastructure Security Analyst, you'll bring your real-world expertise to the table, analyzing enterprise security scenarios that directly shape how AI understands and responds to modern threats.
This isn't a typical security role. Your knowledge of how attacks unfold, how controls fail, and how organizations actually operate becomes the foundation for smarter, more reliable AI systems.
- Organization: Alignerr
- Type: Hourly Contract
- Commitment: 10–40 hours/week
- Location: Fully Remote
- Analyze 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 based on real operational data
- Create, label, and validate security datasets used to train and evaluate AI systems
- Clearly articulate root causes, attack paths, and business impact in structured formats
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- 2+ years of hands-on experience in network, infrastructure, or endpoint security
- Solid working knowledge of firewalls, EDR platforms, email security, IAM, and SIEMs
- Deep understanding of how enterprise security controls are deployed and operated in practice
- Able to explain complex security issues clearly and concisely — in writing
- Self-motivated, detail-oriented, and comfortable working independently
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- Experience with threat hunting, incident response, or red/blue team operations
- Familiarity with security frameworks such as MITRE ATT&CK, NIST, or CIS Controls
- Background in cloud infrastructure security (AWS, Azure, GCP)
- Prior experience contributing to AI, ML, or data labeling projects
- Work directly on frontier AI systems with real-world security impact
- Fully remote and flexible — work on your own schedule
- Freelance autonomy with meaningful, intellectually engaging work
- Collaborate with a global network of security and AI professionals
- Potential for ongoing work and contract extension
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