Live opening · Posted 7 days ago

Data Security & DLP Analyst

Alignerr · Cape Town, Western Cape, South Africa (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyAlignerr
LocationCape Town, Western Cape, South Africa (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 labs to build and train frontier AI models. Now we're looking for experienced data security professionals to help us get it right where it matters most — sensitive data, real-world risk, and the controls that stand between exposure and protection.
If you've spent time in security operations, compliance, or data protection and you understand how data leaks actually happen in modern organizations, this is a rare opportunity to put that knowledge to work shaping the next generation of AI.
Organization: Alignerr
Type: Hourly Contract
Commitment: 10–40 hours/week
Location: Fully Remote
What You'll Do
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
Who You Are
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
Nice to Have
Experience with cloud security (AWS, Azure, GCP) or SaaS security controls
Background in security engineering, threat modeling, or privacy compliance
Familiarity with AI safety, red-teaming, or AI evaluation workflows
Why Join Us
Work directly on frontier AI systems alongside top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and meaningful work
Your expertise directly improves how AI reasons about real-world security risk
Potential for ongoing work and contract extension

Work arrangement
No

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