Offensive Security Analyst; Structured​/Non-Exploit

Offensive Security Analyst (Structured / Non-Exploit)

What if your red-team mindset and adversarial instincts could directly shape how AI understands cyber threats? We're looking for Offensive Security Analysts to analyze real-world attack paths, model adversary behavior, and help build the AI systems that reason about security at a level that actually reflects how attacks unfold in the wild.

This role is focused on structured adversarial reasoning - not exploit development. You'll work with realistic intrusion scenarios, kill chains, and threat models to help train and evaluate frontier AI systems. No CVEs required. Just deep, genuine knowledge of how real attacks happen.

This is a fully remote, flexible contract role built for experienced security practitioners who want to do something meaningful with their expertise.

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

• Analyze attack paths, kill chains, and adversary tactics across realistic production-style environments
• Identify and classify weaknesses, misconfigurations, and defensive gaps in scenario-based contexts
• Review and evaluate red-team narratives and intrusion scenarios for accuracy and depth
• Generate, label, and validate adversarial reasoning data used to train and evaluate AI systems
• Clearly articulate how attacks unfold, where defenses fail, and how risk propagates - in writing
• Work independently and asynchronously on task-based assignments at your own pace

• 2+ years of hands‑on experience in pentesting, red teaming, or a blue‑team role with real attack exposure
• Deep understanding of how real attacks unfold in production environments - not just theory
• Able to think and write clearly about attack chains, adversary decision‑making, and security tradeoffs
• Comfortable working without a team looking over your shoulder - self‑directed and reliable
• Strong written communicator who can explain complex technical concepts with precision and clarity

• Familiarity with threat‑modeling frameworks such as MITRE ATT&CK, STRIDE, or similar
• Experience with cloud, Active Directory, or network‑based attack paths
• Background in security research, CTFs, or adversary simulation exercises
• Prior experience with data labeling, technical writing, or AI evaluation workflows

• Work directly on frontier AI systems alongside leading AI research labs
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, task‑based work
• Put your security expertise to work in a way that has real, lasting impact on how AI understands threats
• Potential for ongoing work and contract extension as new projects launch