Remote Data Security & DLP Analyst for AI Training

Alignerr Corp.; Cape Town; À distance; ZAR 914 000 - 1 599 000; Temps partiel

Avantages offerts par ce poste

Remote freelance work

Flexible hours

Autonomy

Résumé du poste

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help build rigorous security training data for frontier AI systems. This fully remote hourly contract role offers flexible hours from 10 to 40 per week, allowing you to contribute to data protection, risk assessment, and policy-compliance guidance across cloud and on-prem environments.

You will analyze data security scenarios, classify data sensitivity, and validate incident-prevention strategies to improve AI training

Qualifications

• 2+ years of hands-on experience in data security, compliance, or security operations.
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
• Strong practical understanding of how data risk plays out in real enterprise environments
• Comfortable analyzing security incidents and articulating nuanced risk decisions in writing
• Self-directed and reliable — able to deliver quality work asynchronously

Responsabilités

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, identify exposure paths, and assess policy violations
• Evaluate prevention, detection, and incident response strategies for accuracy and completeness
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Help AI models reason more accurately about sensitive information, risk, and regulatory context

Connaissances

Data security

DLP tools

Data classification

Privacy concepts

Technical writing

Description du poste

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help build rigorous security training data for frontier AI systems. This fully remote hourly contract role offers flexible hours from 10 to 40 per week, allowing you to contribute to data protection, risk assessment, and policy-compliance guidance across cloud and on-prem environments.

You will analyze data security scenarios, classify data sensitivity, and validate incident-prevention strategies to improve AI training