Data Security & DLP Analyst

Alignerr Corp.; Región Centro; Remote; MXN 991,000 - 1,734,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr Corp. seeks a Data Security & DLP Analyst (AI Training) for a remote hourly contract. You will analyze data security scenarios, classify data sensitivity levels, and evaluate prevention and incident response strategies for AI training datasets.

Join a team partnering with leading AI researchers to shape how models reason about sensitive information. This role offers flexible hours (10–40 hours/week), independent work, and the opportunity to contribute to frontier AI systems while

Qualifications

• 2+ years of experience in data security, compliance, security operations, or a closely related field.
• Familiar with data loss prevention (DLP) tools and data classification concepts.
• Understanding of GDPR, HIPAA, PCI-DSS, or other privacy/regulatory frameworks.

Responsibilities

• Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments.
• Classify data sensitivity, exposure paths, and policy violations.
• Evaluate prevention, detection, and incident response strategies for accuracy.
• Generate, label, and validate data security cases for AI training and benchmarking.
• Help AI models understand how sensitive data is exposed and protected.

Skills

Data security

DLP tools

Privacy concepts

Written communication

Independent work

Tools

AWS

Azure

GCP

SaaS security tooling

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.

• 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