Cyber Security Ai Trainer

Cyber Security AI Trainer Overview

• The Cyber Security AI Trainer role focuses on enhancing AI systems with cybersecurity expertise.
• Collaborate remotely in a flexible environment, committing to 30–40 hours weekly.
• Contribute to AI training by evaluating and improving cybersecurity-related model outputs.
• Design and solve technical challenges to train AI systems effectively.
• Engage in structured tasks to shape AI reasoning on real-world cybersecurity threats.
• Work independently with a focus on quality and throughput throughout the engagement.
• Utilize coding skills to navigate and patch codebases as part of the training process.
• Leverage your cybersecurity expertise to influence AI development and improvement.
• Enjoy a fully remote role with no production on-call or shift work.

Cyber Security AI Trainer Key Responsibilities & Duties

• Evaluate AI-generated cybersecurity content for accuracy and real-world applicability.
• Develop and solve security-focused technical problems for AI training purposes.
• Write clear technical explanations and security-relevant code to enhance AI systems.
• Annotate and rank model outputs to guide AI training and improvement.
• Maintain consistent quality and throughput during the engagement period.
• Collaborate remotely in a self-directed environment, ensuring task completion.
• Participate in coding assessments to demonstrate technical proficiency.
• Contribute to the development of hands-on security tasks for AI training.
• Utilize your cybersecurity expertise to influence AI reasoning and decision-making.

Cyber Security AI Trainer Job Requirements

• Bachelor of Arts (BA) degree is required for this position.
• Minimum of 2 years of hands-on experience in cybersecurity roles.
• Proficiency in coding, particularly Python, and navigating codebases.
• Strong written communication skills to explain complex concepts effectively.
• Availability to commit 30–40 hours weekly for the full engagement period.
• Comfortable working independently in a remote, self-directed environment.
• Familiarity with AI/LLM tools at a user level is advantageous.
• Cybersecurity certifications such as OSCP, CRTO, or CEH are preferred.
• Experience in offensive security, detection and response, or application security roles is ideal.