Data Security & DLP Analyst

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

Data Security & DLP Analyst (AI Training)

About The Role

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for experienced data security professionals to help AI systems reason intelligently about sensitive information, data exposure, and protection controls.

This is your opportunity to take your real-world expertise in data loss prevention and turn it into something that shapes the future of AI — on your own schedule, from anywhere.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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

Who You Are

• 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

Nice to Have

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in security operations, insider threat programs, or data governance
• Familiarity with AI training or evaluation workflows

Why Join Us

• Work directly on frontier AI systems at the cutting edge of AI safety and capability
• Fully remote and flexible — work on your own schedule, on your terms
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Your domain expertise creates lasting impact on how AI understands cybersecurity
• Potential for ongoing work and contract extension