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 cutting-edge AI systems. At Alignerr, we partner with the world's leading AI research labs — and we need people who understand how data leaks actually happen in the real world.

Your hands-on knowledge of DLP controls, data classification, and security operations will directly shape how AI reasons about sensitive information exposure, detection, and prevention. This is a rare opportunity to apply deep security expertise to one of the most consequential technology challenges of our time.

• 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
• Review and evaluate prevention, detection, and incident response strategies
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Provide structured expert feedback that helps AI reason accurately about sensitive information risk

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, PCI-DSS)
• Practical understanding of how data risk plays out in real enterprise environments
• Detail-oriented with strong written communication skills
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
• Background in security engineering, incident response, or risk management
• Familiarity with AI evaluation or data labeling workflows

Why Join Us

• Work directly on frontier AI systems with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact on how AI handles sensitive data responsibly
• Potential for ongoing work and contract extension