Freelance AI Security Researcher

Mindrift
1 month ago
Applications closed

Related Jobs

View all jobs

Freelance Technology Facilitator (North America)

Digital Marketing Coordinator

Technical Recruitment Consultant

Senior Irish Gaelic Linguist Consultant

About the Company

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

Our goal? Advance the field of artificial intelligence through collaborative Generative AI projects with domain experts. The Mindrift platform allows experts to dive into a variety of tasks ranging from creating training prompts for AI models to refining AI responses for better relevance.

You’ll have the unique opportunity to contribute to AI development anywhere, at anytime. Flexible, community-focused, and innovative—without the need for developer skills.

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 role will involve designing and executing a code injection attack to identify vulnerabilities in an AI-powered computer agent. You'll receive an onboarding session and sample documentation to guide you through the process. In practice, this means working with Docker containers, writing Bash and Python scripts, modifying HTML files, crafting malicious Linux commands, etc..

Requirements

Required Qualifications:

  • 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.
  • 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:

  • 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

  • Take part in a part-time, remote, freelance project that works with your schedule and commitments.
  • Be part of an exciting AI project.
  • Enrich your portfolio with new experience.
  • Make a tangible impact on the quality of AI.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.