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 adaptable — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Apply your
📌 Data Security (Guadalajara)
🏢 Alignerr
📍 Guadalajara
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