Data Security & DLP Analyst

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

Data Security & DLP Analyst (AI Training)

About The Role

We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need people who truly understand how data leaks happen in the real world.

As a Data Security & DLP Analyst, you'll bring your hands‑on security knowledge to a cutting‑edge AI project. You'll work with realistic incidents, DLP scenarios, and enterprise controls to help AI systems reason accurately about sensitive information risk. Your expertise directly shapes how frontier AI understands data security.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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

Who You Are

• 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

  Who You Are

  • 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

  Nice to Have

  • Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
  • Background in security operations, incident response, or data governance
  • Familiarity with frameworks like NIST, ISO 27001, or CIS Controls
  • Prior experience contributing to AI training or evaluation projects

  Why Join Us

  • Work directly on frontier AI systems alongside top research labs
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Make a meaningful contribution to how AI understands cybersecurity
  • Potential for ongoing work and contract extension