Remote Data Security & DLP Analyst for AI Training

Alignerr Corp.

United States

Remote

USD 55,000 - 110,000

Full time

5 days ago
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Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help shape how AI models reason about data risk. This remote hourly contract role focuses on DLP controls, data classification, and security operations in real-world environments.

You will analyze data security scenarios across cloud, SaaS, and enterprise contexts, classify exposure paths, and evaluate prevention and incident response strategies. The work is independent, asynchronous, and contract-based.

Qualifications

  • 2+ years of experience in data security, compliance, or security operations.
  • Familiar with DLP tools, data classification frameworks, and privacy/regulatory concepts (GDPR, HIPAA, CCPA, etc.).
  • Strong practical understanding of how data risk plays out in real-world environments.
  • Able to work independently, manage your own time, and deliver quality work asynchronously.
  • Detail-oriented with clear 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 incident response strategies.
  • Generate, label, and validate data security cases used to train and benchmark AI systems.
  • Apply your practical expertise to help AI reason accurately about data risk.

Skills

Data security
DLP concepts
Policy compliance
Written communication

Tools

DLP tools
Data classification frameworks
Cloud security tools

Job description

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help shape how AI models reason about data risk. This remote hourly contract role focuses on DLP controls, data classification, and security operations in real-world environments.

You will analyze data security scenarios across cloud, SaaS, and enterprise contexts, classify exposure paths, and evaluate prevention and incident response strategies. The work is independent, asynchronous, and contract-based.

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