Vulnerability Management Analyst

Alignerr Corp.; Phoenix (AZ); Remote; USD 41,000 - 83,000; Full time

Benefits offered by this job

Remote work

Freelance contract

Autonomy

Global collaboration

Job summary

Alignerr Corp. is seeking a Vulnerability Management Analyst (AI Training) to help shape how AI systems understand cybersecurity. This remote hourly contract role focuses on analyzing vulnerability data and guiding risk-based decisions.

You will work with threat data, CVEs, and scanners to label realistic training data for AI and ensure outputs reflect real-world judgment. Ideal for candidates with 2+ years in security operations and independent work style.

Qualifications

• 2+ years of experience in vulnerability management, security operations, or infrastructure security.
• Familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks.
• Able to articulate the difference between theoretical risk and what actually matters in a live environment.
• A structured, analytical thinker who communicates clearly in writing.
• Self-motivated and comfortable working independently on task-based assignments.

Responsibilities

• Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
• Classify severity, exploitability, impact, and appropriate remediation strategies
• Review and evaluate patching, mitigation, and risk prioritization decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
• Apply your practical knowledge of how production security teams actually operate to ensure AI outputs reflect real-world judgment

Skills

Vulnerability management

Security operations

AI data labeling

Tools

Qualys

Tenable

Rapid7

EPSS

CVSS

Job description

Vulnerability Management Analyst (AI Training)

We're looking for experienced vulnerability management and security operations professionals to help evaluate and improve AI systems trained on cybersecurity content. Your real-world expertise in how security teams discover, prioritize, and remediate risk will directly shape how AI understands and reasons about vulnerabilities — making a meaningful impact on the future of security-aware AI.

About The Role

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
• Classify severity, exploitability, impact, and appropriate remediation strategies
• Review and evaluate patching, mitigation, and risk prioritization decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
• Apply your practical knowledge of how production security teams actually operate to ensure AI outputs reflect real-world judgment

Who You Are

• 2+ years of experience in vulnerability management, security operations, or infrastructure security
• Solid familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
• Able to articulate the difference between theoretical risk and what actually matters in a live environment
• A structured, analytical thinker who communicates clearly in writing
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with tools like Qualys, Tenable, Rapid7, or similar scanners
• Familiarity with CVSS scoring, EPSS, or exposure management platforms
• Background in threat intelligence or red/blue team operations
• Prior experience contributing to AI training, data labeling, or security research

Why Join Us

• Work directly on frontier AI systems built with the world's leading AI research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI understands real-world cybersecurityPotential for ongoing work and contract extension