Offensive Security Analyst (Structured / Non-Exploit)

Alignerr Corp.; Johannesburg; Remote; ZAR 1,366,000 - 2,277,000; Part time

Job summary

Alignerr Corp. is seeking an Offensive Security Analyst to study real-world attack paths and model adversary behavior. This remote hourly-contract role focuses on structured adversarial reasoning and data training for frontier AI systems.

You will analyze attack chains, identify defensive gaps, and validate adversarial narratives across production environments. The role emphasizes independent, asynchronous work and practical, non-exploit security thinking.

Qualifications

• 2+ years of hands-on pentesting/red teaming or blue-team with offensive knowledge.
• Clear, concise explanation of complex attack chains to technical audiences.
• Strong written communication and ability to document adversarial reasoning.

Responsibilities

• Analyze attack paths, kill chains, and adversary strategies across realistic environments.
• Classify weaknesses, misconfigurations, and defensive gaps with structured explanations.
• Review red team-style scenarios and intrusion narratives for accuracy and completeness.
• Generate, label, and validate adversarial reasoning data used to train AI systems.
• Articulate attack chains, potential impact, and security tradeoffs in written form.
• Work independently on task-based assignments at your own pace.

Skills

Penetration testing

Red teaming

Threat modeling

Adversary emulation

Adversary reasoning

Written communication

Tools

MITRE ATT&CK

Job description

About The Role

What if your red team instincts and adversarial thinking could directly shape how AI understands and reasons about cybersecurity threats? We're looking for Offensive Security Analysts to analyze real-world attack paths, model adversary behavior, and help build the training data that powers frontier AI systems.

This role is about structured adversarial reasoning - not exploit development. You'll work with realistic attack scenarios, think through how threats move across systems, and articulate where defenses fail and why. No zero-days required. Just deep, practical knowledge of how attacks actually unfold.

• 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


• Classify weaknesses, misconfigurations, and defensive gaps with structured, reasoned explanations


• Review and evaluate red team-style scenarios and intrusion narratives for accuracy and completeness


• Generate, label, and validate adversarial reasoning data used to train and evaluate cutting-edge AI systems


• Clearly articulate attack chains, potential impact, and security tradeoffs in written form


• Work independently and asynchronously on task-based assignments at your own pace

Who You Are

• 2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with strong offensive knowledge


• You understand how real attacks unfold - from initial access through lateral movement and impact


• You can explain complex attack chains clearly and concisely to technical audiences


• Naturally analytical and methodical - you think in systems and spot the gaps others miss


• Strong written communicator who can document adversarial reasoning in structured formats


• Self-motivated and reliable when working independently without supervision

Nice to Have

• Familiarity with frameworks like MITRE ATT&CK, Cyber Kill Chain, or OWASP


• Experience with threat modeling, attack surface analysis, or security architecture review


• Background in CTF competitions, purple teaming, or security research


• Prior exposure to AI tools or data labeling workflows


• Certifications such as OSCP, CEH, GPEN, or equivalent practical experience

Why Join Us

• Work directly on frontier AI projects alongside world-leading research labs


• Fully remote and flexible - work when and where it suits you


• Freelance autonomy with the structure of meaningful, task-based work


• Make a tangible impact on how AI understands and reasons about real-world security threats


• Potential for ongoing work and contract extension as new projects launch