Data Security & DLP Analyst (AI Training)

About The Role

We're partnering with leading AI research labs to build AI systems that genuinely understand how sensitive data is exposed, detected, and protected in the real world. To do that, we need experienced data security professionals who know how breaches and policy violations actually happen — not just in theory, but in practice.

This is a rare opportunity to apply your security expertise in a new and meaningful way: shaping the next generation of AI reasoning around data risk.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

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 data security cases used to train and benchmark AI models
Help AI systems develop a nuanced, real-world understanding of how data risk unfolds





Who You Are

2+ years of hands-on experience in data security, compliance, or security operations
Familiar with DLP tools, data classification frameworks, and privacy or regulatory standards (e.g., GDPR, HIPAA, CCPA)
Practical knowledge of how data risk manifests across modern enterprise environments
Able to think through realistic attack paths, misconfigurations, and control gaps
Strong written communication — you can explain complex security concepts clearly
Self-directed and comfortable working asynchronously on task-based projects

Nice to Have

Experience with cloud security, CASB, or SaaS data governance tools
Background in security consulting, incident response, or risk advisory
Familiarity with AI evaluation or data annotation workflows
Relevant certifications (CISSP, CISM, CISA, Security+, etc.)

Why Join Us

Work directly on frontier AI systems at the cutting edge of AI safety and capabi

📌 Data Security (México)
🏢 Alignerr
📍 México