AI Data Security & DLP Analyst – Remote Contract

Alignerr Corp.; France; Remote; EUR 55,000 - 103,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr Corp. is seeking a Data Security & DLP Analyst (AI Training) to help train and evaluate cutting-edge AI systems. You will work remotely on an hourly-contract basis, analyzing DLP scenarios, classifying data sensitivity, and evaluating protection strategies to improve AI reasoning about data risk.

Join a global expert community and contribute to frontline AI research. The role emphasizes independence, strong understanding of GDPR/other regulations, and hands-on experience with DLP tools.

Qualifications

• 2+ years in data security, compliance, or security operations.
• Hands-on familiarity with DLP tools and data classification frameworks.
• Familiarity with privacy/regulatory concepts (GDPR, HIPAA, CCPA).
• Ability to assess data exposure, detection, and protection in real environments.

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 understanding of data risk to improve AI reasoning.

Skills

Data security

DLP tools

Data classification

Privacy concepts

Risk analysis

Independent work

Job description

Alignerr Corp. is seeking a Data Security & DLP Analyst (AI Training) to help train and evaluate cutting-edge AI systems. You will work remotely on an hourly-contract basis, analyzing DLP scenarios, classifying data sensitivity, and evaluating protection strategies to improve AI reasoning about data risk.

Join a global expert community and contribute to frontline AI research. The role emphasizes independence, strong understanding of GDPR/other regulations, and hands-on experience with DLP tools.