AI Training Data Security & DLP Analyst

Alignerr Corp.; Johannesburg; Remote; ZAR 916,000 - 1,373,000; Part time

Benefits offered by this job

Autonomy

Variety of projects

Global collaboration

Job summary

Alignerr is seeking a Data Security &DLP Analyst (AI Training) to join the team on an hourly contract. You will analyze data security scenarios, classify data sensitivity, and evaluate prevention and response strategies across cloud, SaaS, and enterprise environments.

The role focuses on creating high-quality data security cases used to train and benchmark AI systems, translating real-world risk into training data and evaluation frameworks. Remote, freelance-style work with flexible hours.

Qualifications

• 2+ years of experience in data security, compliance, or security operations.
• Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS).
• Strong practical understanding of how sensitive data is exposed, mishandled, or exfiltrated across modern IT environments.

Responsibilities

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure paths, and policy violations across diverse use cases.
• Evaluate prevention, detection, and incident response strategies for accuracy and completeness.
• Generate, label, and validate high-quality data security cases used to train and benchmark AI systems.
• Apply your practical understanding of how data risk plays out in real-world organizations to improve AI reasoning.

Skills

Data security

DLP tools

Data classification

Privacy concepts

Risk reasoning

Async work

Tools

DLP tools

Job description

Alignerr is seeking a Data Security &DLP Analyst (AI Training) to join the team on an hourly contract. You will analyze data security scenarios, classify data sensitivity, and evaluate prevention and response strategies across cloud, SaaS, and enterprise environments.

The role focuses on creating high-quality data security cases used to train and benchmark AI systems, translating real-world risk into training data and evaluation frameworks. Remote, freelance-style work with flexible hours.