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Junior AI Vulnerability Triaging Analyst

Eliana Magnusson

Contract · Job · New_York

About the role

Security teams receive hundreds of vulnerability alerts per day. Most are noise: low-severity CVEs in components that aren't exposed, known exploits for software versions that were patched months ago, or theoretical vulnerabilities that require physical access to exploit. The analysts who triage these alerts spend 70% of their time on findings that pose no real risk. We're building the ML system that filters the noise. This is a 6-month contract focused on the data analysis that feeds that ML system. You'll review vulnerability alert datasets, label triage decisions with severity context, analyze which features correlate with analyst escalation decisions, and build the dashboards that help security managers understand their alert distribution. The senior ML engineers build the models; you're generating the ground truth and analysis that makes those models useful. This is a great role for someone interested in cybersecurity analytics who wants to build real experience without a deep security background. You'll learn vulnerability classification, CVSS scoring, and the factors that determine real-world exploitability from analysts who have years of hands-on experience.

Responsibilities

  • Review and label vulnerability alert datasets with triage decision context
  • Analyze correlations between alert features and analyst escalation decisions
  • Build dashboards showing alert distribution by severity, component, and resolution
  • Document labeling methodology for consistency across the annotation team
  • Run statistical analysis identifying features predictive of high-priority vulnerabilities
  • Support quality review of model predictions against analyst ground truth

Requirements

  • 1+ year of experience in data analysis, security operations, or IT
  • Basic Python and SQL skills for data manipulation
  • Interest in cybersecurity and vulnerability management
  • Comfort with structured classification work and ambiguous edge cases
  • Strong attention to accuracy given the security consequences of labeling errors

Benefits

  • Fully remote contract position
  • Competitive hourly rate
  • Mentorship from senior security ML engineers
  • Exposure to real enterprise vulnerability data
  • Potential full-time offer after contract period

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Categories

AI Product & Strategy data science & analytics

Skills

python sql pandas statistics

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Job Type

Contract

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

AI Product & Strategy data science & analytics

Skills

python sql pandas statistics

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