Threat Intel - AI / LLM Trainer - Make Your Own Hours
Remotasks · United States · 3 wk ago
RemoteRemoteEducationFull-time
Responsibilities
- Evaluate AI-generated prompt responses for accuracy, relevance, and effectiveness in the context of Cyber Security Threat Intelligence.
- Use reinforcement learning with human feedback to grade AI prompt responses and guide the AI's learning process for improved performance.
- Collaborate with cybersecurity professionals and data scientists to refine AI models based on real-world cyber threat intelligence and incident data.
- Participate in the continuous improvement of AI training processes, including the selection of training data and feedback mechanisms.
- Stay abreast of the latest developments in cyber security threats, tactics, techniques, and procedures (TTPs) to ensure the AI's outputs are relevant and up-to-date.
- Provide insights and feedback on the AI's performance and potential areas for enhancement in detecting and responding to cyber threats.
Requirements
Preferred Certifications:
- SANS GCIH (GIAC Certified Incident Handler)
- SANS GCTI (GIAC Cyber Threat Intelligence)
Other relevant certifications in information security incident handling, vulnerability management, and threat intelligence are highly desirable (e.g., CISSP, CEH, OSCP).
Required Experience:
- Multiple years of experience in analyzing, triaging, and responding to cyber security incidents and investigations, particularly in response to recent vulnerabilities.
- This includes knowledge of threat actor group tactics, techniques, and procedures (TTPs) and how to detect and defend against them.
- Assessing Cyber Threat Intelligence and determining applicable risk for an organization via threat modeling.
- This involves understanding threat actor group TTPs and how to detect and defend against them.
- Identifying, managing, and remediating vulnerabilities, especially in response to well-known vulnerabilities exploited by threat actor groups.
Qualifications
Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.