Freelance AI Security Engineer - job 1 of 4

As a Freelance AI Security Engineer at Mindrift, your main responsibilities include generating challenging prompts for AI and defining criteria to evaluate AI’s responses. You will also leverage your domain knowledge to correct and improve the model’s answers, ensuring that AI systems can effectively tackle complex cybersecurity issues.

To qualify as a Freelance AI Security Engineer at Mindrift, candidates should have strong skills in Linux administration and automation (using tools like Bash, Python, and PowerShell). Hands-on experience with penetration testing tools, knowledge of AI security risks, and cloud security expertise are essential. Relevant security certifications such as OSCP, CEH, or CISSP are also highly valued.

At Mindrift, the Freelance AI Security Engineer role is designed to be fully remote and flexible. You will have the freedom to choose your hours, allowing you to balance this opportunity alongside your primary commitments, whether they are professional or academic.

Preferred skills for the Freelance AI Security Engineer position at Mindrift include experience in AI red teaming, adversarial machine learning, and deep knowledge of security frameworks such as OWASP Top Ten and MITRE ATT&CK. Familiarity with networking protocols, web security, and cloud environments further enhances a candidate’s profile.

The Freelance AI Security Engineer position at Mindrift is an exciting career opportunity because it allows you to participate in cutting-edge AI projects while enhancing your professional portfolio. You’ll interact with innovative technology and contribute to meaningful work that shapes the future of AI, all from the comfort of your own home.

When answering this question, highlight specific tools you've used, such as Metasploit or Burp Suite. Discuss how you've applied them in real-world scenarios to identify vulnerabilities and enhance security measures.

In your response, discuss the strategies you've implemented for automating security processes, particularly in CI/CD pipelines. Mention any scripts or tools you’ve developed or utilized and their impacts on efficiency and security.

Identify various risks such as prompt injection and adversarial attacks. Explain how you've tackled these challenges in your previous roles and your strategies for mitigating such risks in AI models.

Describe your methods for clear and concise communication, emphasizing the importance of simplification for diverse audiences. Include any tools or formats you use to present reports efficiently.

Mention frameworks you are familiar with, such as OWASP Top Ten or MITRE ATT&CK, and explain how you've applied them in your work. This shows your comprehensive understanding of industry standards.

Discuss your passion for the intersection of AI and security, elaborating on why addressing AI-related security issues is crucial for the industry's future and how you wish to contribute.

Share your time management strategies, such as prioritizing tasks and setting goals, to demonstrate your ability to work independently while maintaining productivity in a freelance environment.

Detail your experience with cloud platforms like AWS or Azure. Discuss any specific projects where you implemented security measures or addressed vulnerabilities in cloud environments.

Explain your method for identifying inaccuracies in AI output and how you would use your domain knowledge to correct these issues effectively, ensuring the model learns and improves.

Mention your practices for continual learning, such as following relevant publications, attending webinars, or participating in online forums to keep abreast of the latest trends in AI security.