Data Security & DLP Analyst

Alignerr Corp.; Madrid; Remote; EUR 34,000 - 62,000; Part time

Job summary

Alignerr is seeking a Data Security & DLP Analyst to analyze data security scenarios and help AI systems reason about sensitive information risk. This is a remote, hourly contract with 10–40 hours per week.

You will classify data sensitivity, evaluate prevention strategies, and generate real-world data security cases used to train AI models. Familiarity with GDPR, HIPAA, PCI-DSS is a plus and you will communicate findings clearly in writing.

Qualifications

• 2+ years of experience in data security, compliance, or security operations.
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.).
• Able to think clearly and communicate findings in writing; work independently on tasks.

Responsibilities

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure paths, and policy violations.
• Evaluate prevention, detection, and response strategies for effectiveness.
• Generate, label, and validate real-world data security cases for AI training.
• Help AI models reason about how sensitive information is exposed and protected.

Skills

Data security

Compliance

Security operations

DLP concepts

Data classification

Tools

Microsoft Purview

Symantec DLP

Forcepoint

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 data leaks actually happen — and can help AI systems reason about sensitive information risk the way a seasoned practitioner would.

This is a unique opportunity to apply your real-world security expertise to frontier AI development, working remotely on your own schedule.

• 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 paths, and policy violations
• Evaluate prevention, detection, and response strategies for effectiveness
• Generate, label, and validate real-world data security cases used to train and evaluate AI systems
• Help AI models reason accurately about how sensitive information is exposed and protected in modern organizations

Who You Are

• 2+ years of experience in data security, compliance, 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 think critically and communicate findings clearly in writing
• Detail-oriented and comfortable working independently on task-based assignments

Nice to Have

• Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint)
• Background in cloud security, insider threat programs, or incident response
• Familiarity with AI evaluation or data annotation 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 contribution to how AI understands and handles sensitive data
• Potential for ongoing work and contract extension