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Security Operations Analyst (AI Training)

Alignerr • United Kingdom
Remote
This Job is No Longer Active This position is no longer accepting applications

Partner with leading AI research labs to build next-gen AI systems. Analyze SOC scenarios, classify severity levels, and recommend response actions. Apply security expertise to AI training.

Key Highlights
Analyze realistic SOC scenarios to assess incidents and threats
Classify severity levels, identify root causes, and recommend response actions
Review and validate AI-generated security outputs
Key Responsibilities
Analyze realistic SOC scenarios — incidents, alerts, and investigations — to assess what's happening and why it matters
Classify severity levels, identify root causes, and recommend appropriate response actions
Evaluate detection logic and investigation workflows for accuracy and real-world alignment
Review and validate AI-generated security outputs to ensure they reflect how analysts actually work
Provide structured, expert feedback that helps AI systems reason through threats more accurately
Technical Skills Required
SIEM platforms Security investigation methodologies SQL
Benefits & Perks
Fully remote and flexible contract role
Potential for ongoing work and contract extension
Nice to Have
Experience with threat hunting, malware analysis, or digital forensics
Familiarity with frameworks like MITRE ATT&CK or NIST
Background in cloud security, endpoint detection, or network monitoring

Job Description

We're partnering with leading AI research labs to build the next generation of AI systems that reason through real-world security incidents. As a Security Operations Analyst, your hands-on SOC experience will directly shape how AI understands, investigates, and responds to threats — making a meaningful impact on the future of cybersecurity AI.This is a fully remote, flexible contract role designed for experienced security professionals who want to apply their expertise in an exciting new direction.
  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

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