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Jobs / Alignerr

Offensive Security Analyst (Structured / Non-Exploit)

up to $60/hr

source wording: “$40-60/hr

Platform
Alignerr
Category
Cybersecurity
Eligibility
Worldwide
Freshness
seen live 55 min ago

What this role asks for

  • 10–40 hrs/week
  • 2+ yrs experience
  • Red-teaming
  • Annotation
Read from the posting's own words: show the exact sentences
  • 10–40 hrs/week: “…Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do * Analyze realistic attack paths, kill chains, and adversary strategies…
  • 2+ yrs experience: “…and asynchronously — fully on your own schedule Who You Are * 2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with deep offensive knowledge * You…
  • Red-teaming: “…Who You Are * 2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with deep offensive knowledge * You understand how real attacks…
  • Annotation: “…network environments * Prior experience contributing to AI or data labeling projects Why Join Us * Work directly on frontier AI systems alongside leading research…

The role, as Alignerr describes it

Offensive Security Analyst (Structured / Non-Exploit)

About the Role

What if your hard-won knowledge of how attackers think, move, and succeed could directly shape the AI systems that millions of people will rely on to stay secure?

We're looking for Offensive Security Analysts to bring real-world adversarial thinking to frontier AI development. This isn't a traditional red team gig — there's no exploit development, no active intrusion, and no CVE hunting. Instead, you'll apply your deep understanding of attack paths, kill chains, and adversary behavior to help train and evaluate AI systems that reason about cybersecurity at a high level.

Read the rest of the description (10 more paragraphs)

This is a fully remote, flexible contract role. If you think like an attacker and can articulate how threats unfold in production environments, we want to hear from you.

- 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 systems and environments * Identify and classify weaknesses, misconfigurations, and defensive gaps in structured scenarios * Review red-team-style narratives and intrusion scenarios for accuracy, realism, and completeness * Generate, label, and validate adversarial reasoning data used to train and evaluate AI models * Clearly articulate attack chains, business impact, and security tradeoffs in written form * Work independently and asynchronously — fully on your own schedule

Who You Are

* 2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with deep offensive knowledge * You understand how real attacks unfold in production environments — not just in theory * You can break down a complex attack chain and explain it clearly to a technical audience * You think in terms of attacker objectives, not just individual techniques * Naturally detail-oriented with a structured, methodical approach to analysis * Comfortable producing written assessments and structured data outputs

Nice to Have

* Familiarity with frameworks like MITRE ATT&CK, Cyber Kill Chain, or STRIDE * Experience writing threat models, attack narratives, or red team reports * Background in threat intelligence, security architecture review, or purple teaming * Exposure to cloud, OT/ICS, or enterprise network environments * Prior experience contributing to AI or data labeling projects

Why Join Us

* Work directly on frontier AI systems alongside leading research labs * Fully remote and flexible — work when and where it suits you * Freelance autonomy with the structure of meaningful, task-based work * Apply your offensive security expertise to a genuinely novel and high-impact problem space * Potential for ongoing work and contract extension as new projects launch

Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗

Source: platform job feed · first seen 55 min ago · ID 01d0f9c2-2fcf-429e-bc53-f72657f5031b

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