Remote Data Security & DLP Analyst for AI Training

Alignerr Corp.; Greater London; Remote; GBP 69,000 - 96,000; Part time

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) for a remote hourly contract to help shape how frontier AI systems reason about sensitive information risk. You will analyze data security and DLP scenarios across cloud and enterprise environments, classify data sensitivity, and evaluate prevention, detection, and response strategies.

You bring 2+ years in data security or security operations, familiarity with DLP tools and data classification, and a practical, detail‑oriented

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, CCPA, etc.).
• Practical, real-world understanding of how data risk plays out across modern organizations
• Able to think critically about exposure paths, control gaps, and detection logic
• Detail‑oriented and comfortable working independently on task‑based assignments

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 evaluate AI models
• Provide structured, expert feedback that helps AI reason correctly about sensitive information risk

Skills

Data security

Compliance

Security operations

DLP tools

Data classification

Privacy concepts

Job description

Alignerr is seeking a Data Security & DLP Analyst (AI Training) for a remote hourly contract to help shape how frontier AI systems reason about sensitive information risk. You will analyze data security and DLP scenarios across cloud and enterprise environments, classify data sensitivity, and evaluate prevention, detection, and response strategies.

You bring 2+ years in data security or security operations, familiarity with DLP tools and data classification, and a practical, detail‑oriented