Remote DLP & Data Security Analyst for AI Training

Alignerr Corp.; United States; Remote; AUD 83,000 - 124,000; Part time

Job summary

Alignerr is seeking a Data Security & DLP Analyst to help train AI systems with real-world data protection scenarios. This remote, hourly contract role focuses on data loss prevention, data classification, and risk assessment across cloud and enterprise environments.

You will analyze, label, and validate security cases for AI training, collaborate with globally distributed teams, and deliver clear outputs on security controls and exposure paths.

Qualifications

• 2+ years of experience in data security, compliance, information risk, or security operations.
• Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA).
• Practical understanding of how data risk plays out across modern IT environments.
• Strong analytical and written communication skills.
• Able to work independently and deliver structured, high-quality outputs.

Responsibilities

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure paths, and policy violations based on real-world context.
• 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.
• Apply your practical knowledge to help AI reason about how sensitive information is exposed and protected.

Skills

Data security

DLP tools

Data classification

Privacy concepts

Analytical skills

Written communication

Independent work

Cloud security platforms

AWS

Azure

GCP

Tools

Cloud security platforms (AWS, Azure, GCP)

AWS

Azure

GCP

Job description

Alignerr is seeking a Data Security & DLP Analyst to help train AI systems with real-world data protection scenarios. This remote, hourly contract role focuses on data loss prevention, data classification, and risk assessment across cloud and enterprise environments.

You will analyze, label, and validate security cases for AI training, collaborate with globally distributed teams, and deliver clear outputs on security controls and exposure paths.