Remote Freelance SOC Analyst for AI Threat Detection

Alignerr Corp.

Boston (MA)

Remote

USD 55,000 - 103,000

Part time

11 hours ago
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Job summary

Alignerr is seeking a Security Operations Analyst (AI Training) to work remotely on an hourly contract. You will analyze incidents, validate AI-driven outputs, and help tune detection and response playbooks in collaboration with AI research labs.

You should have 2+ years in SOC or incident response, be comfortable working asynchronously, and distinguish real threats from noise while documenting findings for engineering and AI teams.

Qualifications

  • 2+ years of hands-on experience in SOC, incident response, or security operations.
  • Familiar with SIEM platforms, alert triage processes, and investigation workflows.
  • Able to distinguish true security signals from false positives and background noise.
  • Detail-oriented with clear written communication skills.
  • Comfortable working independently and asynchronously on task-based assignments.

Responsibilities

  • Analyze realistic incident and alert scenarios to identify what's happening and why it matters.
  • Classify severity levels, determine root causes, and recommend appropriate response actions.
  • Review and evaluate detection logic, triage workflows, and investigation procedures.
  • Validate AI-generated security outputs to ensure they reflect how analysts actually work in practice.
  • Provide structured, expert feedback that helps AI reason through threats the way a seasoned analyst would.

Skills

SOC operations
Incident response
Alert triage
Investigation workflows
Clear written communication
Independent work

Tools

SIEM platforms

Job description

Alignerr is seeking a Security Operations Analyst (AI Training) to work remotely on an hourly contract. You will analyze incidents, validate AI-driven outputs, and help tune detection and response playbooks in collaboration with AI research labs.

You should have 2+ years in SOC or incident response, be comfortable working asynchronously, and distinguish real threats from noise while documenting findings for engineering and AI teams.

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