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
