Data Security & DLP Analyst (AI Training)
About The Role
We're partnering with leading AI research labs to build AI systems that truly understand data security — how sensitive information moves, where it gets exposed, and how organizations defend against it. If you've worked in data security or compliance and know how real-world data leaks actually happen, this is your opportunity to put that expertise to work shaping the next generation of AI.
- 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
- Help AI models reason more accurately about sensitive information risk and DLP controls
Who You Are
- 2+ years of experience in data security, compliance, information security, or security operations
- Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
- Practical understanding of how data risk plays out in real enterprise environments
- Able to identify nuanced exposure scenarios and articulate why they matter
- Detail-oriented with strong written communication skills
- Comfortable working independently and asynchronously
Nice to Have
- Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Nightfall)
- Background in cloud security, insider threat detection, or security operations
- Familiarity with data governance or privacy engineering
- Experience writing security policies, incident reports, or compliance documentation
Why Join Us
- Work directly on frontier AI systems with real-world security impact
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute expertise that makes AI safer and more trustworthy
- Potential for ongoing work and contract extension
