AI Data Security & DLP Analyst (Remote)

Alignerr Corp.; New York (NY); Remote; USD 34,000 - 83,000; Part time

Job summary

Alignerr Corp. is seeking a Data Security & DLP Analyst (AI Training) to advance data protection in cutting-edge AI projects. The role focuses on data loss prevention, classification, and incident response to shape how AI models reason about sensitive information.

The ideal candidate has hands-on experience with DLP tools and regulatory concepts, and can work remotely on a flexible hourly schedule with 10–40 hours per week.

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.).
• Practical understanding of how data risk and exposure play out in real-world environments.

Responsibilities

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure pathways, and policy violations.
• Review and evaluate prevention, detection, and incident response strategies.
• Generate, label, and validate realistic data security cases used to train and evaluate AI models.
• Apply your practical knowledge of how data risk unfolds in real organizational environments.

Skills

Data security

DLP tools

Data classification

Incident response

Privacy/regulatory concepts

Tools

Cloud security platforms

Job description

Alignerr Corp. is seeking a Data Security & DLP Analyst (AI Training) to advance data protection in cutting-edge AI projects. The role focuses on data loss prevention, classification, and incident response to shape how AI models reason about sensitive information.

The ideal candidate has hands-on experience with DLP tools and regulatory concepts, and can work remotely on a flexible hourly schedule with 10–40 hours per week.