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AI Cybersecurity Specialist
1 week ago
About Mindrift
We believe in using collective intelligence to shape the future of AI ethically.
Our goal is to advance the field of artificial intelligence through collaborative Generative AI projects with domain experts. As an AI security researcher, you will use your skills to train AI systems to identify and exploit security weaknesses in a controlled and ethical manner.
Responsibilities:
- Train AI systems to identify and exploit security weaknesses.
- Analyze and report findings on AI security risks.
- Collaborate with teams to develop and implement secure coding practices for AI development.
Requirements:
- Strong Linux administration and automation skills (Bash, Python, PowerShell).
- Experience with web security (HTTP, API security, web scraping, DOM manipulation).
- Knowledge of AI security risks, including prompt injection, adversarial attacks, and AI red teaming.
- Deep understanding of networking protocols, OS security, and web application security.
- Cloud security expertise (AWS, Azure, Kubernetes, Terraform, CI/CD security).
- Proficiency in English: advanced (C1) or above.
- Excellent analytical and problem-solving skills.
- Strong communication skills for reporting findings and collaborating with teams.
Preferred Skills:
- Hands-on experience with penetration testing tools (Metasploit, Burp Suite, Nessus, Nmap).
- Experience in AI red teaming, adversarial ML, LLM security testing.
- Knowledge of OWASP Top Ten, MITRE ATT&CK, and other security frameworks.
- Relevant security certifications (OSCP, CEH, CISSP, OSWE, API Security Architect).
- Experience in automating security tasks, securing DevOps workflows, and integrating security into CI/CD pipelines.
Benefits:
- Participate in a part-time, remote, freelance project that suits your schedule and commitments.
- Join an innovative AI project.
- Enhance your portfolio with new experience.
- Achieve a tangible impact on AI quality.