Data Security & DLP Analyst

Alignerr; Vancouver; Remote; CAD 55,000 - 124,000; Full time

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to analyze real-world data security and DLP scenarios across cloud, SaaS, and enterprise environments. You will classify data sensitivity, exposure pathways, and policy violations, and evaluate prevention, detection, and incident response strategies for accuracy and completeness.

The role involves generating, labeling, and validating data security cases used to train and benchmark AI systems, with a practical focus on how data risk

Responsibilities

• 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

Job description

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