Offensive Security Analyst (Structured / Non-Exploit)

Offensive Security Analyst (Structured / Non-Exploit)

Full-Time 30 - 45 £ / hour (est.) No working from home possible
A

At a Glance

  • Tasks: Analyse attack paths and adversary strategies in real-world systems.
  • Company: Join Alignerr, a leader in AI research and development.
  • Benefits: Earn $40–$60/hour with flexible remote work options.
  • Other info: Enjoy freelance perks like autonomy and global collaboration.
  • Why this job: Work on cutting-edge AI systems and make a real impact.
  • Qualifications: 2+ years in pentesting or red team roles with hands-on experience.

The predicted salary is between 30 - 45 £ per hour.

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This role focuses on structured adversarial reasoning rather than exploit development. You will work with realistic attack scenarios to model how threats move through systems, where defenses fail, and how risk propagates across modern environments.

What You’ll Do

  • Analyze attack paths, kill chains, and adversary strategies across real-world systems
  • Classify weaknesses, misconfigurations, and defensive gaps
  • Review red-team style scenarios and intrusion narratives
  • Help generate, label, and validate adversarial reasoning data used to train and evaluate AI systems

What We’re Looking For

  • 2+ years in pentesting, red team, or a strong blue-team role with hands-on attack knowledge
  • Understand how real attacks unfold in production environments
  • Ability to clearly explain attack chains, impact, and tradeoffs

Why Join Us

  • Competitive pay and flexible remote work.
  • Work directly on frontier AI systems.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Offensive Security Analyst (Structured / Non-Exploit) employer: Alignerr

Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.

A

Contact Details:

Alignerr Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Offensive Security Analyst (Structured / Non-Exploit)

Tip Number 1

Network like a pro! Reach out to folks in the industry, join relevant forums, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.

Tip Number 2

Prepare for those interviews! Brush up on your knowledge of attack paths and adversary strategies. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.

Tip Number 3

Showcase your skills! Create a portfolio or GitHub repository where you can demonstrate your understanding of pentesting and red team tactics. We love seeing real-world examples of your work, so make sure to highlight your best projects.

Tip Number 4

Apply through our website! It’s the quickest way to get noticed by our team. We review applications daily, so don’t miss out on the chance to showcase your skills and passion for offensive security.

We think you need these skills to ace Offensive Security Analyst (Structured / Non-Exploit)

Adversarial Reasoning
Pentesting
Red Teaming
Blue Team Knowledge
Attack Path Analysis
Kill Chain Analysis
Weakness Classification

Some tips for your application 🫡

Tailor Your Resume:Make sure your resume highlights your experience in pentesting and red team roles. We want to see how your skills align with the structured adversarial reasoning focus of the role, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about offensive security and AI. Share specific examples of how you've tackled real-world attack scenarios and what you learned from them. This is your chance to stand out!

Be Clear and Concise:When filling out your application, keep your answers straightforward and to the point. We appreciate clarity, especially when it comes to explaining attack chains and impacts. Avoid jargon unless it’s necessary!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we review applications daily, so get yours in ASAP!

How to prepare for a job interview at Alignerr

Know Your Attack Paths

Make sure you understand the various attack paths and kill chains relevant to the role. Brush up on how real attacks unfold in production environments, as this will be crucial for discussing your experience and insights during the interview.

Explain Clearly

Practice explaining complex concepts like attack chains and their impacts in simple terms. The interviewers will appreciate your ability to communicate effectively, especially when discussing adversarial strategies and defensive gaps.

Showcase Your Experience

Be ready to share specific examples from your past roles in pentesting or red team activities. Highlight any hands-on attack knowledge you have and how it relates to structured adversarial reasoning, as this is a key focus for the position.

Prepare for Scenario Discussions

Familiarise yourself with red-team style scenarios and intrusion narratives. Think about how you would approach generating, labelling, and validating adversarial reasoning data, as this will likely come up in conversation.