We're partnering with leading AI research labs to build the next generation of security-focused AI systems — and we need experienced incident responders to help get it right. Your hands-on knowledge of real-world security operations will directly shape how AI understands, investigates, and responds to modern cyber threats.
This is a unique opportunity to move beyond the SOC and influence the future of AI-driven security — on your own schedule, from anywhere.
Analyze realistic security events, alerts, and incident cases to evaluate AI-generated investigations
Assess AI outputs for accuracy in root cause analysis, impact determination, and remediation guidance
Review and validate detection rules, alerting pipelines, and investigative playbooks
Identify gaps where AI responses diverge from how real response teams operate
Provide structured, expert feedback that directly improves AI reasoning in security contexts
Work independently and asynchronously on task-based assignments
Who You Are
2+ years of hands-on experience in SOC operations, incident response, or security engineering
Comfortable working across SIEM platforms, alert queues, and investigation tooling
Skilled at triaging alerts and distinguishing meaningful threats from noise
Able to clearly articulate the reasoning behind incident decisions in writing
Detail-oriented with a strong sense of how real-world response workflows operate
Nice to Have
Experience with threat hunting, digital forensics, or red/blue team operations
Familiarity with frameworks such as MITRE ATT&CK;, NIST, or SANS IR methodology
Exposure to cloud-native security environments (AWS, Azure, GCP)
Prior experience evaluating or working alongside AI-driven security tools
Why Join Us
Work on frontier AI projects with top-tier research labs and make a direct impact
Fully remote
📌 Incident Response Analyst (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.