Freelance AI Red Team Engineer at Mindrift

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

15.0

Posted On

17 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Bash, PowerShell, Docker, Penetration Testing, AI Safety, Cybersecurity, Exploit Development, Reverse Engineering, Network Security, Application Security, Linux, Windows Internals, Secure Coding, Generative AI, AI Red-Teaming

Industry

Business Consulting and Services

Description

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks. Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents. Develop and implement automation scripts, custom tools, environments and test harnesses. Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model. Advise on cybersecurity best practices and policy implications. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or other related fields. Your level of English is advanced (C1) or above. Proficient in scripting and automation using Python, Bash, or PowerShell. Experienced with containerization and CI/CD security tools, especially Docker. Hands-on experience with penetration testing across web, API, network, and infrastructure environments. Knowledge of vulnerabilities in current AI models, including prompt injections, with knowledge of OWASP Top 10 for Large Language Models (LLMs). Familiar with AI red-teaming frameworks such as garak or PyRIT. Experience in AI/ML security, evaluation, and red teaming, particularly with LLMs, AI agents, and RAG pipelines. Proficient in offensive exploitation and exploit development. Skilled in reverse engineering using tools like Ghidra or equivalents. Expertise in network and application security, including web application security. Knowledge of operating system security concepts such as Linux privilege escalation and Windows internals. Familiar with secure coding practices for full-stack development. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $15/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Responsibilities

Evaluate and red team AI models and machine learning systems for vulnerabilities and safety risks. Develop and implement automation scripts and contribute to security research initiatives in AI safety.