$38 - $60/hr
Full-time
Posted 26 days ago
Job description
Data Security & DLP Analyst
$38-60/hr Remote Freelance CODING
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 real-world data leaks happen and can translate that expertise into training materials that teach AI systems to reason about sensitive information risk.
This is a unique opportunity to apply your hands-on security knowledge to frontier AI development, working remotely on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 1040 hours/week
What You'll Do
- Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
- Classify data sensitivity levels, exposure paths, and policy violations
- Evaluate prevention, detection, and incident response strategies across a range of scenarios
- Generate, label, and validate data security cases used to train and evaluate AI systems
- Help AI models develop accurate, nuanced reasoning about how sensitive information 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, CCPA)
- Practical understanding of how data risk plays out in real-world environments not just theory
- Able to clearly articulate security reasoning in written form
- Detail-oriented and comfortable working independently on task-based assignments
Nice to Have
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls
- Background in security operations, incident response, or data governance
- Familiarity with AI training or data annotation workflows
Why Join Us
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible set your own hours and workload
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Apply your security expertise in a new and meaningful way
- Potential for ongoing work and contract extension
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Security Analyst?
A: To succeed as a Data Security Analyst, key technical skills include proficiency in security frameworks and protocols (e.g., NIST, HIPAA), programming languages (e.g., Python, SQL), and security information and event management (SIEM) systems. Additionally, strong analytical and problem-solving skills, as well as effective communication and collaboration abilities, are essential for identifying and mitigating security threats, working with cross-functional teams, and presenting findings to stakeholders. By combining technical expertise with strong soft skills, Data Security Analysts can effectively protect an organization's sensitive data and support long-term career growth in the field of cybersecurity.
Q: What is the career path for a Data Security Analyst?
A: A Data Security Analyst's typical career progression involves starting as an entry-level Security Analyst, where they focus on monitoring systems and responding to security incidents, then advancing to a mid-level role as a Security Engineer or Senior Security Analyst, where they design and implement security solutions. As they gain experience, they can move into senior roles such as a Security Architect or Chief Information Security Officer (CISO), overseeing the development and implementation of comprehensive security strategies. Throughout their career, Data Security Analysts can develop skills in areas like threat intelligence, compliance, and risk management, and may also pursue certifications like CompTIA Security+ or CISSP to enhance their career prospects.
