Vulnerability Management Analyst

Alignerr Corp.; Atlanta (GA); Remote; USD 83,000 - 138,000; Full time

Job summary

Alignerr Corp. is seeking a Vulnerability Management Analyst to help build secure AI training data. You will analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications, prioritizing risk in real-world contexts.

You'll work remotely under an hourly contract (10–40 hours/week), applying patching, mitigation, and remediation reasoning to guide AI training and evaluation for production environments.

Qualifications

• 2+ years of experience in vulnerability management, security operations, or infrastructure security.
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.)
• Understand the real-world tradeoffs between scanner output and actual exploitability
• Analytical and structured in your thinking — you can explain why a risk matters, not just that it does
• Self-motivated and comfortable working independently in an asynchronous environment

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments
• Classify severity, exploitability, and business impact using real-world security reasoning
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality
• Generate, label, and validate realistic security data used to train and evaluate AI models
• Apply your hands-on experience to help AI distinguish between theoretical risk and what actually matters in production

Skills

Vulnerability management

Security operations

Risk prioritization

Analytical thinking

Tools

Vulnerability scanners

CVSS/EPSS

Job description

Vulnerability Management Analyst (AI Training)

We're partnering with world-leading AI research labs to build smarter, more capable AI systems — and we need security professionals who know what real-world vulnerability management actually looks like. This isn't a theoretical exercise. You'll work with realistic scenarios drawn from how security teams actually discover, prioritize, and remediate risk across modern infrastructure. Your expertise will directly shape how AI understands and reasons about cybersecurity — making these systems more accurate, more trustworthy, and more useful for security practitioners everywhere.

About The Role

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

What You'll Do

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments
• Classify severity, exploitability, and business impact using real-world security reasoning
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality
• Generate, label, and validate realistic security data used to train and evaluate AI models
• Apply your hands-on experience to help AI distinguish between theoretical risk and what actually matters in production

Who You Are

• 2+ years of experience in vulnerability management, security operations, or infrastructure security
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.)
• Understand the real-world tradeoffs between scanner output and actual exploitability
• Analytical and structured in your thinking — you can explain why a risk matters, not just that it does
• Self-motivated and comfortable working independently in an asynchronous environment

Nice to Have

• Experience with exposure management platforms (Tenable, Qualys, Rapid7, Wiz, etc.)
• Familiarity with cloud or container security vulnerability workflows
• Background in SOC, red team, or penetration testing that informs your remediation thinking
• Prior experience contributing to AI training, data labeling, or technical content creation

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — work on your own schedule
• Freelance autonomy with meaningful, intellectually engaging work
• Contribute to AI that helps security teams make better decisions at scale
• Potential for ongoing work and contract extension