Remote Data Security & DLP Analyst for AI Training

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

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