Data Security & DLP Analyst at Alignerr

Data Security & DLP Analyst (AI Training)

About The Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for data security professionals who understand how sensitive information is exposed, mishandled, and protected in the real world.

This is a unique opportunity to apply your hands-on security expertise to a high-impact problem: teaching AI systems to reason accurately about data risk, DLP controls, and information security scenarios. Your real-world knowledge directly shapes how frontier AI understands and responds to data security challenges.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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 data security cases used to train and benchmark AI systems
• Apply your practical understanding of how data risk plays out across modern organizations

Who You Are

• 2+ years of experience in data security, compliance, security operations, or a related field
• Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
• Practical understanding of how sensitive data moves, leaks, and gets exposed in real environments
• Strong written communication skills and ability to document findings clearly
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management
• Background in security policy development, risk assessment, or data governance
• Familiarity with frameworks like NIST, ISO 27001, or CIS Controls
• Prior exposure to AI, machine learning, or data annotation workflows

Why Join Us

• Work directly on frontier AI systems alongside world-class research teams
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that makes AI safer and more security-aware
• Potential for ongoing work and contract extension