Live opening · Posted 7 days ago

Data Security & DLP Analyst

Alignerr · Sydney, New South Wales, Australia (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyAlignerr
LocationSydney, New South Wales, Australia (Remote)
Salary$38/hr - $60/hr
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

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 data security professionals who understand how data leaks actually happen — and want to put that knowledge to work on one of the most important technology challenges of our time.
You'll work with realistic incidents, DLP controls, and security scenarios to help AI systems reason more accurately about sensitive information risk. Your hands-on expertise will directly shape how frontier AI understands data protection.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure paths, and policy violations
Evaluate prevention, detection, and incident response strategies
Generate, label, and validate realistic data security cases used to train and evaluate AI systems
Apply your real-world knowledge to help AI reason accurately about how sensitive data is exposed and protected
Who You Are
2+ years of experience in data security, compliance, or security operations
Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
Practical understanding of how data risk plays out across real enterprise environments
Able to think critically about security scenarios and communicate findings clearly
Self-motivated and comfortable working independently on task-based assignments
Nice to Have
Experience with cloud security platforms (AWS, Azure, GCP)
Background in security engineering, insider threat analysis, or data governance
Familiarity with AI or data labeling workflows
Why Join Us
Work directly on frontier AI systems with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Make a meaningful impact on how AI understands and handles sensitive data
Potential for ongoing work and contract extension

Work arrangement
No

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