Remote Data Security & DLP Analyst for AI Training

Alignerr Corp.; Spain; Remote; EUR 34,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help advance safe AI systems. This remote, hourly contract role offers flexible scheduling and collaboration with top AI research teams.

You will work asynchronously on task-based assignments, focusing on data leakage prevention and risk assessment. You will analyze security scenarios, classify data sensitivity, and evaluate incident response strategies while contributing to the creation of training data for AI models.

Qualifications

• 2+ years of experience in data security, compliance, or security operations.
• Familiar with DLP tools, data classification frameworks, and privacy/regulatory concepts (GDPR, HIPAA, CCPA).
• Practical understanding of how sensitive data moves, gets exposed, and gets protected in modern environments.
• Detail-oriented with strong written communication skills.

Responsibilities

• Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure paths, and policy violations.
• Evaluate prevention, detection, and response strategies for data loss incidents.
• Generate, label, and validate realistic data security cases used to train AI models.
• Apply your practical understanding of data risk in real-world organizations.

Skills

Data security

Compliance

Data classification

Written communication

Tools

DLP tools

Job description

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help advance safe AI systems. This remote, hourly contract role offers flexible scheduling and collaboration with top AI research teams.

You will work asynchronously on task-based assignments, focusing on data leakage prevention and risk assessment. You will analyze security scenarios, classify data sensitivity, and evaluate incident response strategies while contributing to the creation of training data for AI models.