Data Security & DLP Analyst

Alignerr; France; Remote; EUR 55,000 - 83,000; Part time

Benefits offered by this job

Remote work

Flexible hours

Potential for ongoing engagements

Job summary

Alignerr Corp. is seeking experienced data security professionals to help train and evaluate cutting-edge AI systems.

You will analyze DLP scenarios across cloud, SaaS, and enterprise environments, classify data sensitivity, and review prevention, detection, and response strategies used to protect information. This remote hourly contract offers flexibility to work asynchronously with a global expert community and potential ongoing engagements.

Qualifications

• 2+ years of experience in data security, compliance, or security operations.
• Hands-on familiarity with DLP tools, data classification frameworks, and privacy concepts (e.g., GDPR, HIPAA, CCPA).
• Practical understanding of how sensitive data is exposed, detected, and protected in real environments.
• Ability to think critically about risk scenarios and communicate findings clearly.
• Self-directed and comfortable working independently on asynchronous tasks.

Responsibilities

• Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments.
• Classify data sensitivity, exposure paths, and policy violations based on real-world conditions.
• Review and evaluate prevention, detection, and response strategies for accuracy and completeness.
• Generate, label, and validate data security cases used to train and benchmark AI models.
• Apply your understanding of how data risk plays out across modern organizations to improve AI reasoning.

Skills

Data security

Security operations

Data classification

Privacy concepts

Independent work

Tools

DLP tools

Data classification frameworks

Job description

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 truly understand how data leaks happen in the real world.

Your expertise in DLP controls, data classification, and security operations will directly shape how AI reasons about sensitive information, exposure risk, and data protection. This is a rare opportunity to apply deep security knowledge 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, exposure paths, and policy violations based on real-world conditions
• Review and evaluate prevention, detection, and response strategies for accuracy and completeness
• Generate, label, and validate data security cases used to train and benchmark AI models
• Apply your understanding of how data risk plays out across modern organizations to improve AI reasoning

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 sensitive data is exposed, detected, and protected in real environments
• Ability to think critically about risk scenarios and communicate findings clearly
• Self-directed and comfortable working independently on asynchronous tasks

Nice to Have

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
• Background in security operations, incident response, or data governance
• Familiarity with AI systems or machine learning workflows
• Relevant certifications such as CISSP, CISM, CIPP, or equivalent

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — work on your schedule, on your terms
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Make a meaningful impact on how AI understands and handles sensitive information
• Potential for ongoing work and contract extension