Remote Data Security & DLP Analyst for AI Training

Alignerr Corp.

Spain

Remote

EUR 34,000 - 69,000

Part time

22 hours ago
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Benefits offered by this job

Autonomy
Flexibility
Global collaboration

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help build safer AI systems. You will analyze data security scenarios across cloud and enterprise environments, classify data sensitivity, and evaluate prevention and response strategies.

This remote, hourly-contract role offers flexible hours (10–40 hours/week) and the chance to shape AI training data under privacy regulations such as GDPR.

Qualifications

  • 2+ years of experience in data security, compliance, or security operations.
  • Familiar with DLP tools, data classification frameworks, and privacy concepts (e.g., GDPR, HIPAA, CCPA)
  • Practical understanding of how sensitive data moves, gets exposed, and gets protected in modern environments
  • Comfortable working independently and asynchronously on task-based assignments
  • Detail-oriented with strong written communication skills

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 response strategies for data loss incidents
  • Generate, label, and validate realistic data security cases used to train and evaluate AI models
  • Apply your practical understanding of how data risk plays out in real-world organizations

Skills

Data security
DLP tools
GDPR/Regulatory concepts
Data classification
Independent work
Written communication

Tools

AWS
Azure
GCP

Job description

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help build safer AI systems. You will analyze data security scenarios across cloud and enterprise environments, classify data sensitivity, and evaluate prevention and response strategies.

This remote, hourly-contract role offers flexible hours (10–40 hours/week) and the chance to shape AI training data under privacy regulations such as GDPR.

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