Data Security & DLP Analyst

Alignerr Corp.; Montreal; Remote; CAD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance project

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to work remotely on an hourly contract. You will analyze data security scenarios, classify data, and evaluate prevention and response strategies for AI training data sets.

We value hands-on, independent work and familiarity with privacy concepts (GDPR, HIPAA, CCPA). This role offers flexible hours and the chance to impact frontier AI systems with world-class labs.

Qualifications

• 2+ years of experience in data security, compliance, security operations, or a related field.
• Solid familiarity with DLP tools and data classification frameworks.
• Practical understanding of privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA).

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 how sensitive information risk plays out in modern organizations.

Skills

Data security

Security operations

Data classification

Privacy concepts

Tools

DLP tools

Cloud security platforms (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