Data Security & DLP Analyst

Data Security & DLP Analyst (AI Training)
About The Role
We're looking for experienced data security professionals to help train and evaluate frontier AI systems. Your real-world knowledge of how data leaks happen — and how they're stopped — will directly shape how AI reasons about sensitive information risk.
This is a unique opportunity to apply your security expertise beyond traditional roles, contributing to AI that needs to understand DLP controls, exposure paths, and data protection strategies the way a seasoned practitioner does.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure paths, 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 systems
Provide expert judgment on how sensitive information risk plays out in real-world contexts
Who You Are
2+ years of experience in data security, compliance, or security operations
Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
Practical understanding of how data risk surfaces in modern enterprise and cloud environments
Able to think through edge cases, ambiguous scenarios, and realistic threat patterns
Strong written communication — you can clearly explain your reasoning
Nice to Have
Experience with cloud security (AWS, Azure, GCP) or SaaS data governance
Background in security operations, incident response, or compliance auditing
Familiarity with AI or data labeling workflows
Why Join Us
Work directly on cutting-edge AI projects with leading research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Apply deep security expertise to a genuinely novel and high-impact problem
Potential for ongoing work and contract extension

Work arrangement
No