Data Security & DLP Analyst

Alignerr; Montreal; Remote; CAD 34,000 - 69,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Freelance contract

Job summary

Alignerr Corp. is seeking a Data Security & DLP Analyst (AI Training) for remote, hourly contract work. The role focuses on analyzing DLP scenarios, classifying data, and evaluating incident response strategies to train AI systems.

You will contribute to building secure AI training data and improving data protection practices. The position offers flexible, task-based hours (10–40 hours/week) with remote work and autonomy.

Qualifications

• 2+ years of experience in data security, compliance, security operations, or a related field.
• Familiarity with DLP tools, data classification frameworks, and privacy concepts (e.g., GDPR, HIPAA, CCPA).
• Practical, hands-on understanding of how data risk manifests in real enterprise environments.

Responsibilities

• Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure paths, and policy violations with precision.
• Evaluate prevention, detection, and incident response strategies for real-world applicability.
• Generate, label, and validate data security cases used to train and benchmark AI systems.
• Help AI models develop accurate, nuanced understanding of data risk in modern organizations.

Skills

Data security

Security operations

DLP tools

Data classification

Analytical thinking

Tools

AWS

GCP

Azure

Job description

Data Security & DLP Analyst (AI Training)

About The Role

At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI models. We're looking for data security professionals who understand how real data leaks happen — and can bring that knowledge to one of the most consequential technology challenges of our time.

Your expertise in DLP controls, data classification, and security operations will directly shape how AI systems reason about sensitive information, exposure risk, and data protection. This is a rare opportunity to apply deep security knowledge in a cutting-edge AI context — on your own schedule, from anywhere.

• 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 with precision
• Evaluate prevention, detection, and incident response strategies for real-world applicability
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Help AI models develop accurate, nuanced understanding of how sensitive information risk plays out in modern organizations

Who You Are

• 2+ years of experience in data security, compliance, security operations, or a related field
• Solid familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
• Practical, hands‑on understanding of how data risk manifests in real enterprise environments
• Strong analytical thinking and ability to communicate complex scenarios in structured, clear formats
• Self‑motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with cloud security platforms (AWS, GCP, Azure) or SaaS security controls
• Background in security engineering, GRC, or insider threat programs
• Familiarity with AI workflows or data annotation projects

Why Join Us

• Work directly on frontier AI systems built with top research labs
• Fully remote and flexible — set your own hours and work at your own pace
• Freelance perks: autonomy, variety, and global collaboration
• Put your real‑world security expertise to work on problems that matter
• Potential for ongoing work and contract extension