About The Role

What if your offensive security expertise could directly shape how AI understands and reasons about real-world cyber threats? We're looking for experienced security professionals to analyze adversarial attack paths, model threat behavior, and help train the frontier AI systems that will define how the world thinks about cybersecurity.

This role is not about writing exploits — it's about the strategic, analytical layer that makes offensive security genuinely hard: understanding how attacks unfold, where defenses break down, and how risk cascades through modern environments. Your knowledge becomes the ground truth that makes AI smarter about security.

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

What You'll Do

Analyze realistic attack paths, kill chains, and adversary strategies across modern infrastructure
Classify weaknesses, misconfigurations, and defensive gaps with clear, structured reasoning
Review red-team-style scenarios and intrusion narratives for accuracy, completeness, and impact
Generate, label,



and validate adversarial reasoning data used to train and evaluate AI systems
Articulate how attacks unfold, what they impact, and what tradeoffs defenders face
Work independently and asynchronously — fully on your own schedule

Who You Are

2+ years in pentesting, red team operations, or a blue-team role with deep, hands-on attack knowledge
You understand how real attacks unfold in production environments — not just theory
You can clearly explain attack chains, lateral movement, and business impact to both technical and non-technical audiences
Naturally analytical and detail-oriented — you think in systems and see where things break
Solid written communicator who can document complex scenarios with precision and clarity
No prior AI experience required

Nice to Have

Familiarity with frameworks like MITRE ATT&CK;, Cyber Kill Chain, or STRIDE
Experience with cloud environments, Active Directory attac

📌 Offensive Security Analyst (Mumbai)
🏢 Alignerr
📍 Mumbai