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- Tasks: Analyse data-security scenarios and classify data sensitivity for AI training.
- Company: Leading AI research collaboration organisation with a focus on innovation.
- Benefits: Flexible remote work, competitive hourly pay, and potential for contract extension.
- Why this job: Join a cutting-edge team and help shape the future of AI security.
- Qualifications: Over 2 years of experience and knowledge of DLP tools required.
- Other info: Exciting opportunity to work in a dynamic and innovative environment.
The predicted salary is between 13 - 16 £ per hour.
A leading AI research collaboration organization is seeking a Data Security & DLP Analyst to analyze data-security scenarios and classify data sensitivity. This role involves reviewing prevention strategies and generating realistic security cases for training AI systems.
Ideal candidates have over 2 years of relevant experience and understanding of DLP tools. This position offers flexible remote work, competitive hourly pay, and the potential for contract extension.
Remote DLP & Data Security Analyst (Contract) employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote DLP & Data Security Analyst (Contract)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data security space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your experience with DLP tools and data sensitivity analysis. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for data security roles and practice your answers. We want you to feel confident when discussing your experience and strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Remote DLP & Data Security Analyst (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with DLP tools and data security. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data security and how your background makes you a perfect fit for this role. Keep it concise but impactful!
Showcase Your Analytical Skills: Since this role involves analysing data-security scenarios, we’d love to see examples of how you’ve tackled similar challenges in the past. Share specific instances where your analytical skills made a difference!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Alignerr
✨Know Your DLP Tools
Make sure you brush up on the DLP tools you've worked with. Be ready to discuss specific scenarios where you've implemented these tools and how they helped in data classification and security. This shows your hands-on experience and understanding of the role.
✨Understand Data Sensitivity
Familiarise yourself with different levels of data sensitivity and the implications of mishandling sensitive information. Prepare examples from your past work where you successfully classified data and implemented prevention strategies. This will demonstrate your analytical skills and attention to detail.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about potential data-security scenarios and how you would approach them. Practising these responses can help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for AI Training
Since this role involves generating realistic security cases for training AI systems, express your interest in AI and how it intersects with data security. Share any relevant projects or experiences that highlight your passion for both fields, as this can set you apart from other candidates.
