Remote DLP & Data Security Analyst for AI Training

Alignerr Corp.

Manchester

Remote

GBP 55,000 - 96,000

Part time

11 hours ago
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Benefits offered by this job

Autonomy
Variety
Global collaboration

Job summary

Alignerr is seeking a Data Security & DLP Analyst for AI training. This remote hourly contract role focuses on real-world data protection, risk assessment, and data labeling for AI systems, with tasks spanning cloud, SaaS, and enterprise environments.

You will help classify data, assess exposure, and refine incident response strategies while contributing to safe, responsible AI development. 10–40 hours/week, freelance-friendly arrangement.

Qualifications

  • 2+ years of experience in data security, compliance, or security operations.
  • Familiar with DLP tools, data classification, and privacy regulations (GDPR/HIPAA/PCI-DSS).
  • Able to think clearly about attack paths, exposure scenarios, and control gaps.
  • Self-directed and able to work independently on tasks.

Responsibilities

  • Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments.
  • Classify data sensitivity levels, exposure pathways, and policy violations.
  • Evaluate prevention, detection, and incident response strategies for accuracy and completeness.
  • Generate, label, and validate data security cases used to train and benchmark AI systems.
  • Help AI reason correctly about how sensitive information is exposed and protected in modern organizations.

Skills

Data security
Compliance
Security operations
Privacy regulations

Tools

DLP tools

Job description

Alignerr is seeking a Data Security & DLP Analyst for AI training. This remote hourly contract role focuses on real-world data protection, risk assessment, and data labeling for AI systems, with tasks spanning cloud, SaaS, and enterprise environments.

You will help classify data, assess exposure, and refine incident response strategies while contributing to safe, responsible AI development. 10–40 hours/week, freelance-friendly arrangement.

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