Vulnerability Management Analyst

Alignerr • Endpoint Security • Information Security • 7 hours ago

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Salary

≈ $12k – $32k per year (Estimated)

Location

Remote (India)

Experience

2+ years exp

Employment

Full-Time

First seen by Alion on Oct 10, 2026.

Overview

Company

Impact

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Alignerr

Alignerr is an American expert marketplace operated by the data platform company Labelbox that pays specialists to train and evaluate frontier artificial intelligence models. Contributors work remotely on tasks such as writing reference answers, ranking model outputs, reviewing code, checking mathematical proofs and probing systems for failure, across dozens of languages and professional domains. The platform screens applicants for genuine subject expertise before assigning work, and supplies the resulting reinforcement learning and evaluation data to laboratories building large language models.

alignerr.com • HQ: San Francisco, United States • AI Evaluation & Observability • Freelance & Talent Marketplaces • AI Training Data & Annotation • 51-200 employees • Est. 2024

Vulnerability Management Analyst (AI Training)

About The Role

We're partnering with the world's leading AI research labs to build smarter, more capable AI systems — and we need practitioners who know what real security work actually looks like.

If you've spent time in vulnerability management, security operations, or infrastructure security, this is a rare opportunity to apply that expertise in a new and impactful way. You'll work with realistic security scenarios, CVE data, and remediation workflows to help evaluate and improve how AI understands and reasons about cybersecurity.

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, business 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 real-world judgment to distinguish between theoretical risk and what actually matters in production

Who You Are

2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security
Solid familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
Able to think clearly about tradeoffs between theoretical severity and operational risk
Structured, analytical communicator who can explain security reasoning clearly in writing
Self-directed and comfortable working asynchronously on task-based assignments

Nice to Have

Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
Familiarity with cloud or containerized infrastructure security
Background in threat intelligence, red teaming, or security engineering
Prior exposure to AI evaluation or data annotation workflows

Why Join Us

Work directly on frontier AI systems alongside top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Make a meaningful impact on how AI understands real-world cybersecurity
Potential for ongoing work and contract extension

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