Abuse Investigator

About the Role

The role requires a unique blend of investigative acumen, technical savvy, and analytical thinking. You'll be expected to analyze complex datasets, identify patterns and trends, and conduct thorough investigations into suspicious activity. Your findings will be used to drive enforcement actions and improve detection capabilities, making a direct impact on the safety and security of Openai's users.

As an Abuse Investigator, you'll be working at the forefront of the digital trust and safety field, tackling some of the most pressing challenges in AI research. You'll have the opportunity to collaborate with a talented team of experts, share your knowledge and expertise, and contribute to the development of innovative solutions.

What You Will Do

• Investigate reports of harmful activity on Openai's platform, including violent threats, coordinated abuse, and other high-risk threats to public safety
• Analyze complex datasets to identify patterns and trends, using SQL and other tools to inform your investigations
• Conduct thorough investigations into suspicious activity, using a combination of technical analysis and investigative judgment
• Partner with engineering teams to design and improve internal tooling, data pipelines, and reporting capabilities
• Develop and refine abuse signals, behavioral indicators, and tracking methodologies to enable scalable detection and enforcement
• Communicate investigative findings and recommendations to stakeholders across Policy, Legal, Product, Engineering, and Leadership teams
• Translate investigative insights into long-term product, policy, and safety improvements
• Contribute to an on-call rotation supporting time-sensitive investigations and threat assessments
• Collaborate with cross-functional teams to develop and implement proactive mitigation strategies

What We Are Looking For

• 5+ years of experience conducting investigations involving violent actors, terrorism-related activity, trust & safety, law enforcement investigations, intelligence analysis, or related fields
• Strong SQL skills and experience using data analysis to support investigations, identify trends, and answer complex investigative questions
• Practical experience using Python for data analysis, workflow automation, investigative tooling, or operational analytics
• Experience developing scalable processes, detection methodologies, or automated approaches to investigations
• Ability to independently work through complex problems and clearly communicate findings and recommendations
• Strong analytical and problem-solving skills, with the ability to think critically and creatively
• Experience working with large datasets, using tools like Codex to query and analyze data
• Knowledge of AI and machine learning concepts, with an understanding of the potential risks and benefits associated with these technologies

Nice to Have

• Experience working in a fast-paced, dynamic environment, with the ability to adapt to changing priorities and deadlines
• Knowledge of cloud-based technologies, such as AWS or Google Cloud, and experience working with cloud-based data storage and analytics tools
• Familiarity with Agile development methodologies and experience working in a Scrum environment
• Certification in a related field, such as CISSP or CFE, or a graduate degree in a relevant field

Benefits and Perks

• Competitive salary and benefits package, with opportunities for growth and professional development
• Flexible working hours and remote work options, with the ability to work from anywhere in the world
• Access to cutting-edge technologies and tools, with the opportunity to contribute to the development of innovative solutions
• Collaborative and dynamic work environment, with a team of talented and motivated professionals
• Opportunities for professional growth and development, with access to training and education programs
• Recognition and rewards for outstanding performance, with a competitive bonus structure
• Comprehensive health and wellness program, with access to mental health resources and support

• Be prepared to discuss your experience with data analysis and investigations, and how you've used these skills to drive results in previous roles.
• Showcase your knowledge of AI and machine learning concepts, and your understanding of the potential risks and benefits associated with these technologies.
• Highlight your ability to work independently and think critically, with examples of times when you've had to navigate complex problems and communicate your findings effectively.
• Emphasize your experience working with large datasets, and your ability to use tools like SQL and Codex to query and analyze data.
• Consider preparing examples of your work, such as investigations you've led or tools you've developed, to demonstrate your skills and expertise.
• Don't be afraid to ask questions during the interview process, and be prepared to discuss your thoughts on the future of digital trust and safety.
• Be aware of the company's commitment to transparency and safety, and be prepared to discuss how you would contribute to this mission.