Remote Data Security & DLP Analyst for AI Training

Alignerr Corp.; Madrid; A distancia; EUR 34.000 - 76.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Freelance flexibility

Global collaboration

Descripción de la vacante

Alignerr Corp. seeks a Data Security & DLP Analyst (AI Training) to analyze data security and DLP scenarios for AI systems training. This remote role offers flexible hours and contract work, aligning with top research labs and enterprise environments.

You will classify data sensitivity, evaluate protection strategies, and generate real-world data security cases to train and evaluate AI models, communicating findings clearly in writing.

Formación

• 2+ years of experience in data security, compliance, or security operations.
• Familiar with DLP tools, data classification frameworks, and privacy concepts (GDPR, HIPAA, PCI-DSS).
• Practical understanding of how data risk plays out in real enterprise environments.
• Able to communicate findings clearly in writing.

Responsabilidades

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure paths, and policy violations.
• Evaluate prevention, detection, and response strategies for effectiveness.
• Generate, label, and validate real-world data security cases used to train and evaluate AI systems.
• Help AI models reason accurately about how sensitive information is exposed and protected in modern organizations.

Conocimientos

Data security

DLP tools

Data classification

Regulatory concepts

Written communication

Herramientas

Microsoft Purview

Symantec DLP

Forcepoint

Descripción del empleo

Alignerr Corp. seeks a Data Security & DLP Analyst (AI Training) to analyze data security and DLP scenarios for AI systems training. This remote role offers flexible hours and contract work, aligning with top research labs and enterprise environments.

You will classify data sensitivity, evaluate protection strategies, and generate real-world data security cases to train and evaluate AI models, communicating findings clearly in writing.