Data Security & DLP Analyst
Alignerr
Job Overview
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Job Description
About Alignerr
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
We’re looking for people who understand how data leaks actually happen. You will work with realistic incidents and controls to model how sensitive information is exposed, detected, and protected across modern organizations.
Position Details
- Organization: Alignerr
- Position: Data Security & DLP Analyst
- Type: Contract / Task-Based
- Compensation: $38–$60 /hour
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do as a Data Security & DLP Analyst
- Analyze data-security and DLP scenarios across cloud, SaaS, and enterprise systems.
- Classify data sensitivity, exposure paths, and policy violations.
- Review prevention, detection, and response strategies.
- Help generate, label, and validate realistic data-security cases used to train and evaluate AI systems.
What We’re Looking For
- 2+ years in data security, compliance, or security operations.
- Familiarity with DLP tools, data classification, and privacy or regulatory concepts.
- Practical understanding of how data risk plays out in real environments.
Why Join Alignerr
- Competitive pay and flexible remote work.
- Work directly on frontier AI systems.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process
The application process takes approximately 10–15 minutes.
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Data Security
- DLP (Data Loss Prevention)
- Data Classification
- Security Operations
- Compliance
- Privacy Regulations
- Cloud Security
- SaaS Security
- Risk Analysis
- AI Systems Training
How to Get Hired at Alignerr
- Research Alignerr's mission: Study their focus on AI research and data security, understanding their impact.
- Customize your resume: Highlight experience in DLP, data classification, and security operations expertise.
- Showcase practical data risk understanding: Provide examples of real-world data leak scenarios you've handled.
- Prepare for the AI interview: Be ready to discuss data security incidents and control modeling.
- Emphasize remote work suitability: Demonstrate your ability to thrive in a flexible, autonomous environment.
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