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 versatile — work on your own schedule
Freelance perks: auto

📌 Data Security (India)
🏢 Alignerr
📍 India