AI Threat Modeling Analyst — Remote (Adversarial Reasoning)

Alignerr Corp.; Cape Town; Remote; ZAR 1,366,000 - 2,732,000; Part time

Job summary

Alignerr is seeking an experienced Offensive Security Analyst (Structured / Non-Exploit) for a remote hourly contract. You will analyze adversarial attack paths, model threat behavior, and help train frontier AI systems in cybersecurity reasoning.

Responsibilities include evaluating red team narratives, labeling adversarial data, and explaining attack chains clearly to a technical audience. Flexible, independent, contract-based work awaits in a cutting-edge domain.

Qualifications

• 2+ years of hands-on security testing experience.
• Ability to explain attack chains to a technical audience.
• Experience with structured adversarial reasoning.

Responsibilities

• Analyze real-world attack paths, kill chains, and adversary strategies across a range of modern environments.
• Classify weaknesses, misconfigurations, and defensive gaps in realistic system scenarios.
• Review and evaluate red team-style scenarios and intrusion narratives for technical accuracy and depth.
• Generate, label, and validate adversarial reasoning data used to train and evaluate frontier AI systems.
• Articulate how attacks unfold, what impact they create, and what tradeoffs defenders face — in clear, structured language.
• Work independently and asynchronously on task-based assignments at your own pace.

Skills

Pentesting

Red team

Threat modeling

Technical writing

Independent work

Attack chain analysis

MITRE ATT&CK

Tools

MITRE ATT&CK

Job description

Alignerr is seeking an experienced Offensive Security Analyst (Structured / Non-Exploit) for a remote hourly contract. You will analyze adversarial attack paths, model threat behavior, and help train frontier AI systems in cybersecurity reasoning.

Responsibilities include evaluating red team narratives, labeling adversarial data, and explaining attack chains clearly to a technical audience. Flexible, independent, contract-based work awaits in a cutting-edge domain.