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. As a Data Security & DLP Analyst, 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
- 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 Us
- 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)
- Cloud Security
- SaaS Security
- Enterprise Security
- Data Classification
- Privacy Regulations
- Security Operations
- Incident Response
- AI Systems Training
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission in AI and data security, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Highlight data security, DLP, cloud security, and compliance experience. Quantify achievements where possible.
- Emphasize practical experience: Showcase your understanding of real-world data risk scenarios and experience with DLP tools.
- Prepare for the screening: Be ready to discuss your expertise in data classification, privacy, and security operations.
- Demonstrate AI interest: Express enthusiasm for working with frontier AI systems and contributing to their training and evaluation.
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