Mindrift
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. As an AI Tutor in Coding, you will collaborate on projects to meet this vision.
Responsibilities
Evaluate and red‑team AI models, agents, and machine learning systems for vulnerabilities and safety risks.
Create reproducible and auto‑evaluable test cases to assess safety and capability of AI agents.
Develop and implement automation scripts, custom tools, environments, and test harnesses.
Lead or contribute to AI safety research initiatives, creating realistic and challenging attack scenarios.
Advise on cybersecurity best practices and policy implications.
Requirements
Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or related field.
Advanced English proficiency (C1) or above.
Proficient in scripting and automation using Python, Bash, or PowerShell.
Experience with containerization and CI/CD security tools, especially Docker.
Hands‑on experience in penetration testing across web, API, network, and infrastructure environments.
Knowledge of vulnerabilities in AI models, including prompt injections and OWASP Top 10 for LLMs.
Familiarity with AI red‑teaming frameworks such as garak or PyRIT.
Experience in AI/ML security, evaluation, and red teaming of LLMs, AI agents, and RAG pipelines.
Proficiency in offensive exploitation and exploit development.
Skilled in reverse engineering with tools like Ghidra.
Expertise in network and application security, including web application security.
Knowledge of OS security concepts such as Linux privilege escalation and Windows internals.
Familiarity with secure coding practices for full‑stack development.
Willingness to learn new methods, switch between tasks quickly, and work with complex guidelines.
Remote freelance role – need only a laptop, internet, time, and enthusiasm.
Benefits
Pay up to $55 per hour based on skills, experience, and project needs.
Part‑time, remote freelance work that fits around your professional or academic commitments.
Opportunity to work on advanced AI projects and build a portfolio.
Influence how future AI models understand and communicate in your field of expertise.
How to Get Started Simply apply to this post, qualify, and start contributing to projects aligned with your skills on your own schedule.
#J-18808-Ljbffr
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. As an AI Tutor in Coding, you will collaborate on projects to meet this vision.
Responsibilities
Evaluate and red‑team AI models, agents, and machine learning systems for vulnerabilities and safety risks.
Create reproducible and auto‑evaluable test cases to assess safety and capability of AI agents.
Develop and implement automation scripts, custom tools, environments, and test harnesses.
Lead or contribute to AI safety research initiatives, creating realistic and challenging attack scenarios.
Advise on cybersecurity best practices and policy implications.
Requirements
Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or related field.
Advanced English proficiency (C1) or above.
Proficient in scripting and automation using Python, Bash, or PowerShell.
Experience with containerization and CI/CD security tools, especially Docker.
Hands‑on experience in penetration testing across web, API, network, and infrastructure environments.
Knowledge of vulnerabilities in AI models, including prompt injections and OWASP Top 10 for LLMs.
Familiarity with AI red‑teaming frameworks such as garak or PyRIT.
Experience in AI/ML security, evaluation, and red teaming of LLMs, AI agents, and RAG pipelines.
Proficiency in offensive exploitation and exploit development.
Skilled in reverse engineering with tools like Ghidra.
Expertise in network and application security, including web application security.
Knowledge of OS security concepts such as Linux privilege escalation and Windows internals.
Familiarity with secure coding practices for full‑stack development.
Willingness to learn new methods, switch between tasks quickly, and work with complex guidelines.
Remote freelance role – need only a laptop, internet, time, and enthusiasm.
Benefits
Pay up to $55 per hour based on skills, experience, and project needs.
Part‑time, remote freelance work that fits around your professional or academic commitments.
Opportunity to work on advanced AI projects and build a portfolio.
Influence how future AI models understand and communicate in your field of expertise.
How to Get Started Simply apply to this post, qualify, and start contributing to projects aligned with your skills on your own schedule.
#J-18808-Ljbffr