At a Glance
- Tasks: Analyse vulnerabilities and help train AI systems on cybersecurity risk.
- Company: Join a leading AI research partner with a focus on security.
- Benefits: Fully remote, flexible hours, and freelance autonomy.
- Other info: Engaging work with potential for ongoing contracts.
- Why this job: Shape the future of AI while applying your security expertise.
- Qualifications: 2+ years in vulnerability management and familiarity with CVEs.
The predicted salary is between 30 - 40 £ per hour.
We're partnering with the world's leading AI research labs to build smarter, more capable AI systems — and we need real security practitioners to make it happen. As a Vulnerability Management Analyst, you'll apply your hands-on expertise in CVEs, risk prioritization, and remediation to help train and evaluate cutting-edge AI models on how security teams actually think and operate. This is a unique opportunity to go beyond your day-to-day security work and directly influence how the next generation of AI understands cybersecurity risk.
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, and business impact using industry-standard frameworks
- Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality
- Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
- Apply your understanding of the gap between theoretical risk and what actually matters in production environments
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 (e.g., CVSS, EPSS, KEV)
- You understand real-world remediation tradeoffs — not just what the scanner says, but what a security team would actually do
- Structured, analytical thinker who can communicate reasoning clearly in writing
- Self-motivated and comfortable working independently on async, task-based assignments
Nice to Have:
- Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7, Wiz)
- Background in threat intelligence, penetration testing, or cloud security
- Familiarity with AI workflows or data labeling — though not required
Why Join Us:
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — set your own schedule and workload
- Freelance autonomy with meaningful, intellectually engaging work
- Apply your security expertise in a brand-new way that shapes the future of AI
- Potential for ongoing work and contract extension
Remote Vulnerability Management Analyst for AI Training in Manchester employer: Alignerr
Alignerr is an exceptional employer for those looking to make a significant impact in the field of cybersecurity while working remotely. With a commitment to flexibility, you can set your own schedule and workload, allowing for a healthy work-life balance. The opportunity to collaborate with leading AI research labs not only enhances your professional growth but also positions you at the forefront of innovative security practices, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Vulnerability Management Analyst for AI Training in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the cybersecurity field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your work with CVEs, vulnerability management, or any relevant projects. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on real-world scenarios. Think about how you would handle specific vulnerabilities or risk prioritisation in practice. This will help you demonstrate your hands-on expertise during discussions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Remote Vulnerability Management Analyst for AI Training in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with vulnerability management and CVEs. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant expertise!
Showcase Your Analytical Skills:As a Vulnerability Management Analyst, being structured and analytical is key. Use your application to demonstrate how you approach problem-solving and decision-making in real-world scenarios. We love seeing clear reasoning in writing!
Highlight Your Independence:Since this role is remote and requires self-motivation, share examples of how you've successfully worked independently on projects. We appreciate candidates who can manage their time and tasks effectively without constant supervision.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Alignerr
✨Know Your CVEs Inside Out
Make sure you brush up on your knowledge of Common Vulnerabilities and Exposures (CVEs). Be prepared to discuss specific examples from your experience, including how you've prioritised risks and what remediation strategies you've implemented. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Demonstrate Your Analytical Skills
As a Vulnerability Management Analyst, you'll need to think critically about risk prioritisation and remediation. Prepare to walk through your thought process during the interview. Use structured frameworks like CVSS or EPSS to explain how you classify vulnerabilities and make decisions. This will highlight your analytical thinking and problem-solving abilities.
✨Showcase Your Communication Skills
Since you'll be working with AI systems and potentially training them, clear communication is key. Practice explaining complex security concepts in simple terms. You might be asked to write or present a scenario during the interview, so being able to articulate your reasoning clearly will set you apart from other candidates.
✨Familiarise Yourself with AI Workflows
Even if it's not a requirement, having a basic understanding of AI workflows and data labelling can give you an edge. Research how AI models are trained in the context of cybersecurity and be ready to discuss how your expertise can contribute to this process. It shows you're proactive and genuinely interested in the role.
