About the Role
What if your instinct for how attacks unfold — how adversaries move, where defenses crack, and how risk cascades across modern infrastructure — could directly shape the AI systems that millions of people and organizations will rely on for security?
We're looking for Offensive Security Analysts to bring real-world adversarial thinking to cutting-edge AI training projects. This role is focused on structured adversarial reasoning, not exploit development. You'll analyze realistic attack scenarios, model threat behavior, and help build the adversarial reasoning datasets that make AI smarter about security.
This is a fully remote, flexible contract role — designed for experienced security practitioners who want meaningful, intellectually engaging work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Analyze attack paths, kill chains, and adversary strategies across realistic production environments
- Identify weaknesses, misconfigurations, and defensive gaps in complex system architectures
- Review and evaluate red-team-style scenarios and intrusion narratives for accuracy and depth
- Generate, label, and validate adversarial reasoning data used to train and evaluate AI systems
- Articulate how real attacks unfold — including impact, tradeoffs, and defender blind spots — in clear, structured formats
- Work independently and asynchronously on task-based assignments at your own pace
Who You Are
- 2+ years of hands-on experience in pentesting, red team operations, or a blue-team role with deep offensive knowledge
- Strong mental model of how real attacks progress through production environments — from initial access to impact
- Able to clearly explain attack chains, attacker decision-making, and risk tradeoffs in writing
- Detail-oriented and systematic — you can structure complex threat reasoning into clear, consistent outputs
- No exploit development or active offensive tooling required for this role
Nice to Have
- Experience with threat modeling, adversary emulation, or attack simulation frameworks (e.g., MITRE ATT&CK)
- Background in cloud security, Active Directory environments, or network architecture
- Familiarity with red team reporting or intrusion narrative documentation
- Prior experience contributing to security research, CTFs, or structured scenario analysis
Why Join Us
- Work directly on frontier AI systems alongside leading AI research teams and labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Apply your security expertise in a novel, high-impact domain at the intersection of AI and cybersecurity
- Potential for ongoing work and contract extension as new projects launch