AI Security Analyst: Train & Validate AI Defenses
location_on880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Job Description
About the Opportunity
A leading cybersecurity firm is seeking experienced cybersecurity professionals to join their team in a pivotal role focused on advancing artificial intelligence in security. This position offers a unique opportunity to contribute to the development and refinement of next-generation AI security models by providing expert-level feedback and validation.
The Role
In this remote capacity, you will serve as a critical bridge between human expertise and machine learning. Your primary focus will be evaluating AI-generated security content for accuracy, relevance, and effectiveness. You will also tackle complex technical cybersecurity problems, using your hands-on experience to solve challenges that inform how AI models understand and respond to security threats.
By providing detailed feedback on AI outputs, you will directly shape the capabilities and reliability of the AI systems being trained. This role is ideal for professionals who are passionate about both cybersecurity and the evolving landscape of artificial intelligence, offering a chance to influence the future of automated security defenses.
Work location
Work model: Remote
880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Washington, District of Columbia
Key Responsibilities
- check_circleEvaluate AI-generated security content
- check_circleSolve technical cybersecurity problems
- check_circleProvide feedback to shape AI security models
- check_circleTrain AI models using cybersecurity expertise
Requirements
- verifiedHands-on experience in cybersecurity
- verifiedCoding knowledge
- verifiedStrong analytical skills
- verifiedBachelor's degree preferred
- verifiedRelevant certifications
Skills, education and keywords
Skills: cybersecurity, coding.
Education: Bachelor's degree preferred.