Data Security & DLP Analyst

Alignerr; Paris; Remote; EUR 83,000 - 165,000; Part time

Job summary

Alignerr is hiring a Data Security & DLP Analyst to help train frontier AI systems by applying real-world data protection expertise. The role focuses on understanding how data leaks occur and how to stop them, shaping AI reasoning about sensitive information risk.

The remote hourly contract involves analyzing security scenarios, classifying sensitivity, and evaluating prevention, detection, and incident response strategies to ensure AI training datasets are robust and compliant with privacy

Qualifications

• 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, CCPA)
• Practical understanding of how data risk surfaces in modern enterprise and cloud environments
• Able to think through edge cases, ambiguous scenarios, and realistic threat patterns
• Strong written communication — you can clearly explain your reasoning

Responsibilities

• Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, exposure paths, 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
• Provide expert judgment on how sensitive information risk plays out in real-world contexts

Skills

Data security

Compliance

Security operations

Edge-case reasoning

Written communication

Tools

DLP tools

Data classification

Job description

Data Security & DLP Analyst (AI Training)

We're looking for experienced data security professionals to help train and evaluate frontier AI systems. Your real-world knowledge of how data leaks happen — and how they're stopped — will directly shape how AI reasons about sensitive information risk. This is a unique opportunity to apply your security expertise beyond traditional roles, contributing to AI that needs to understand DLP controls, exposure paths, and data protection strategies the way a seasoned practitioner does.

About The Role

• 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
• 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
• Provide expert judgment on how sensitive information risk plays out in real-world contexts

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, CCPA)
• Practical understanding of how data risk surfaces in modern enterprise and cloud environments
• Able to think through edge cases, ambiguous scenarios, and realistic threat patterns
• Strong written communication — you can clearly explain your reasoning

Nice to Have

• Experience with cloud security (AWS, Azure, GCP) or SaaS data governance
• Background in security operations, incident response, or compliance auditing
• Familiarity with AI or data labeling workflows

Why Join Us

• Work directly on cutting-edge AI projects with leading research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Apply deep security expertise to a genuinely novel and high-impact problem
• Potential for ongoing work and contract extension