Structured Adversarial Security Analyst (Remote)

Alignerr; Johannesburg; On-site; ZAR 879,000 - 1,758,000; Part time

Job summary

Alignerr is seeking an Offensive Security Analyst to study real-world attack paths, model adversary behavior, and help build training data for frontier AI systems. This is a remote hourly contract role requiring 2+ years in pentesting or red teaming and strong ability to communicate complex attack chains.

You will analyze kill chains, identify weaknesses, and generate adversarial reasoning data for AI training, with flexible 10–40 hours per week and independent, task-based work style.

Qualifications

• 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.

Responsibilities

• 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

Skills

Pentesting

Red Teaming

Blue Team

Offensive Security

Tools

MITRE ATT&CK

Cyber Kill Chain

OWASP

Job description

Alignerr is seeking an Offensive Security Analyst to study real-world attack paths, model adversary behavior, and help build training data for frontier AI systems. This is a remote hourly contract role requiring 2+ years in pentesting or red teaming and strong ability to communicate complex attack chains.

You will analyze kill chains, identify weaknesses, and generate adversarial reasoning data for AI training, with flexible 10–40 hours per week and independent, task-based work style.