Data security specialists create and check realistic cases on data leakage, classification and DLP policy for AI systems. Suits practitioners with experience in data security, compliance or security operations.
About the role
Data Security & DLP Analyst (AI Training)
About the Role
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.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- 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
- Help AI models develop a nuanced, practitioner-level understanding of how sensitive data is exposed and protected
- 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
- Comfortable working independently and asynchronously on task-based assignments
- 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
- Familiarity with AI or data labeling workflows
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Apply your real-world expertise to meaningful, high-impact work
- Potential for ongoing work and contract extension
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