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 are seeking a Data Security & DLP Analyst to understand how data leaks occur. You will model sensitive information exposure, detection, and protection across modern organizations by working with realistic incidents and controls.
Organization: AlignerrPosition: Data Security & DLP AnalystType: Contract / Task-BasedCompensation: $38–$60 /hourLocation: RemoteCommitment: 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 typically takes 10–15 minutes.
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
PS: 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
- Cloud Security
- SaaS Security
- Risk Management
- AI Training Data
- Privacy Regulations
- Incident Response
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission in AI research, values, and emphasis on remote collaboration.
- Tailor your resume for data security: Highlight specific experience with DLP tools, data classification, and cloud security environments.
- Showcase relevant project experience: Emphasize practical understanding of data risk scenarios and contributions to AI-related data protection.
- Prepare for technical scenarios: Be ready to discuss data leak modeling, incident response strategies, and security controls across various systems.
- Demonstrate commitment to AI and security: Articulate your passion for frontier AI advancements and robust data protection methodologies.
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