Remote Red Team Analyst — AI Security & Hands-on Testing

Armadin; México; Remoto; MXN 360.000 - 540.000; Tempo pieno

Vantaggi offerti da questo lavoro

Full Health, Dental, & Vision Coverage

Meaningful Equity Ownership

In‑Office Meals

Haircuts at the Office

Company Sponsored Conferences & Events

401(k), HSA, and FSA Plans

Flexible PTO

Descrizione del lavoro

Armadin is seeking an Associate Red Team Analyst to blend offensive information security with AI workflows. You’ll understand web app architecture, auth mechanisms, and network security while learning AI safety constraints and data classification.

This is a technical, offensive-focused role that works on cutting-edge AI-driven red teaming. You’ll work remotely from Mexico, gaining hands-on experience as the human-in-the-loop for complex security problems, testing AI-driven attackers, and

Competenze

• 1+ years of hands-on experience in web app or network pentesting.
• Experience in SOC or tactical monitoring environments is a plus.
• Experience interacting with complex authentication flows and APIs is desirable.

Mansioni

• Review AI attacker decisions for safety and appropriateness in context.
• Unblock AI authentication hurdles and bypass CAPTCHAs when needed.
• Guide AI during reconnaissance and ensure data classifications are accurate.
• Provide feedback to safety engineers to calibrate models and reduce false positives.
• Manage multiple client engagements with deep contextual understanding.

Conoscenze

Web app pentesting

SOC experience

Auth flows

APIs

Vulnerability scanners

Descrizione del lavoro

Armadin is seeking an Associate Red Team Analyst to blend offensive information security with AI workflows. You’ll understand web app architecture, auth mechanisms, and network security while learning AI safety constraints and data classification.

This is a technical, offensive-focused role that works on cutting-edge AI-driven red teaming. You’ll work remotely from Mexico, gaining hands-on experience as the human-in-the-loop for complex security problems, testing AI-driven attackers, and