About the Company Welcome to Mindrift — a space where innovation meets opportunity.
We're a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects.
We focus on creating data for Generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time - without the need to be developers.
At Mindrift, we believe in the power of collective intelligence to ethically shape the future of AI.
Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for better relevance.
About the Role Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
In this role, you will use your skills to train AI systems to identify and exploit security weaknesses in a controlled and ethical manner.
Your work will involve: Design and implement an indirect prompt injection attack that will expose a vulnerability of the user agent.
Correcting the AI's responses based on domain-specific knowledge.
Requirements Required Qualifications: Proven experience in penetration testing, ethical hacking, or a related cybersecurity field.
Proficiency with penetration testing tools such as Metasploit, Burp Suite, Nessus, and Nmap.
Strong understanding of networking protocols, operating systems, and web application security.
Knowledge of scripting languages (e.g., Python, PowerShell, Bash).
Familiarity with OWASP Top Ten, MITRE ATT&CK Framework, and other security frameworks.
Relevant certifications such as CEH, OSCP, OSWE, or CISSP (preferred).
Proficiency in English: advanced (C1) or above.
Excellent analytical and problem-solving skills.
Strong communication skills for reporting findings and collaborating with teams.
Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Preferred Skills: Experience with cloud security testing (e.g., AWS, Azure, Google Cloud).
Familiarity with DevSecOps practices and tools.
Understanding of secure software development lifecycle (SDLC).
Benefits Take part in part-time, remote, freelance projects that respect your primary professional or academic commitments.
Try your hand at an AI project and enrich your portfolio with new experiences.
Make a tangible impact on the quality of AI.