This is a fully remote position, open to applicants in District of Columbia, +1 more state.

📋 Description

• Evaluate and categorize AI-generated interactions to determine if the content delivers significant offensive cyber enhancements, differentiating it from authentic security research.

• Utilize SQL and Python to query internal data repositories and cross-reference open-source intelligence (OSINT) to inform labeling decisions.

• Record and communicate investigative insights with internal stakeholders.

⛳️ Requirements

• A minimum of 1–3 years of experience in cybersecurity, Trust & Safety, national security, defense, intelligence, or law enforcement sectors.

• Bachelor's degree in Computer Science, Information Security, or a related discipline, or equivalent practical experience.

• Foundational understanding of cyber threat concepts, including but not limited to: scaled data extraction, ransomware, local and remote exploits, or offensive security operations.

• Knowledge of large language model (LLM) systems and the potential misuse of AI technology in cyber operations.

• Capability to evaluate the potential real-world harm of technical content, distinguishing between offensive uplift and benign or educational security research.

• Strong proficiency in SQL and Python for data querying and investigation support.

• Ability to quickly switch contexts across various domains, modalities, and abuse areas in a dynamic and ambiguous environment.

• Must be able to pass an insider-threat background check.