Data Security & DLP Analyst

Alignerr; Región Centro; Remote; MXN 1,038,000 - 1,816,000; Part time

Benefits offered by this job

Fully remote

Flexible hourly contract

Job summary

Alignerr Corp. seeks a Data Security & DLP Analyst (AI Training) to help train and benchmark AI systems on real-world data risk scenarios. This remote hourly contract offers flexible hours and the opportunity to impact frontier AI research.

You will analyze data security cases across cloud and enterprise contexts, classify sensitivity, assess prevention and response strategies, and contribute to ongoing AI training efforts.

Qualifications

• 2+ years of experience in data security, compliance, security operations, or a closely related field.
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.).
• You understand how data risk plays out in real-world environments — not just in theory.
• Strong written communication skills and attention to detail.
• Comfortable working independently and asynchronously on task-based assignments.

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 realistic data security cases used to train and benchmark AI systems.
• Help AI models develop a nuanced, practitioner-level understanding of how sensitive data is exposed and protected.

Skills

Data Security

DLP

Data Classification

Privacy Compliance

Incident Response

Tools

DLP Tools

Job description

Data Security & DLP Analyst (AI Training)

At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI systems. We're looking for experienced data security professionals who understand how data leaks actually happen — and can translate that expertise into the scenarios that teach AI to reason about sensitive information risk.

This is a unique opportunity to apply your hands-on security knowledge to one of the most consequential technology challenges of our time.

About The Role

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

What You'll Do

• 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 realistic data security cases used to train and benchmark AI systems
• Help AI models develop a nuanced, practitioner-level understanding of how sensitive data is exposed and protected

Who You Are

• 2+ years of experience in data security, compliance, security operations, or a closely related field
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
• You understand how data risk plays out in real-world environments — not just in theory
• Strong written communication skills and attention to detail
• Comfortable working independently and asynchronously on task-based assignments

Nice to Have

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in security engineering, incident response, or data governance
• Familiarity with AI or data labeling workflows

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
• Apply your real-world expertise to meaningful, high-impact work
• Potential for ongoing work and contract extension