At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI systems. We're looking for experienced data security professionals who understand how data leaks actually happen — and can translate that expertise into the scenarios that teach AI to reason about sensitive information risk.
This is a unique opportunity to apply your hands-on security knowledge to one of the most consequential technology challenges of our time.
• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, exposure pathways, and policy violations
• Evaluate prevention, detection, and incident response strategies for accuracy and completeness
• Generate, label, and validate realistic data security cases used to train and benchmark AI systems
• Help AI models develop a nuanced,
practitioner-level understanding of how sensitive data is exposed and protected
Who You Are
• 2+ years of experience in data security, compliance, security operations, or a closely related field
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
• You understand how data risk plays out in real-world environments — not just in theory
• Strong written communication skills and attention to detail
• Comfortable working independently and asynchronously on task-based assignments
Nice to Have
• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in security engineering, incident response, or data governance
• Familiarity with AI or data labeling workflows
Why Join Us
• Work directly on frontier AI systems alongside top research labs
• Fully remote and versátil — work on your own schedule
• Freelance perks: autonomy, varie
📌 Data Security (Guadalajara)
🏢 Alignerr
📍 Guadalajara
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.