Child Safety Enforcement Specialist

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice. The Child Safety team is responsible for detection, review, and enforcement of OpenAI’s Child Safety product policies. We leverage a balanced use of technology and subject matter expertise to scale our operations. We collaborate with internal legal, research, and policy teams, external experts, and other industry stakeholders to keep OpenAI aligned with evolving regulations and industry best practices around child safety. About the Role As a Child Safety Enforcement Specialist on the Intelligence & Investigations, you independently lead defined child safety investigations and projects from triage through documented outcome. You apply strong working knowledge of policy and investigative practice, surface trends in abuse signals, recommend evidence-based mitigations, and coordinate with partners to deliver reliable safety outcomes. The role includes sensitive content review and may involve supporting quality and workflow improvements. This role participates in a coverage rotation that includes weekends. As part of the rotation, one weekend day will be included in the employee’s regular five-day workweek. You’ll be responsible for: This role supports child safety investigations, enforcement, reporting, and process improvement. The work includes significant review of sensitive content and analysis of user behavior. This role independently owns defined projects, aligns with cross-functional priorities, and escalates complex legal or policy questions through established channels. In this role, you will: - Independently review and investigate child safety content and behavior, including CSAM and grooming signals, applying policy consistently and documenting evidence and rationale. - Lead well-defined high-risk escalations end to end; anticipate blockers, communicate progress, and make or recommend enforcement decisions within policy and escalation boundaries. - Identify potential mandatory-reporting cases and prepare accurate, timely NCMEC CyberTip reports through approved legal and operational review flows. - Analyze case and detection data to identify patterns, quality gaps, and emerging abuse trends; propose practical, data-informed improvements to investigative workflows and tooling. - Collaborate with Legal, Policy, Product, Engineering, and operations partners to implement scoped mitigations, resolve dependencies, and clearly communicate findings and outcomes. You might thrive in this role if you have: - Experience investigating child safety abuse or comparable Trust & Safety issues, with sound judgment in sensitive content review and enforcement - Ability to independently own defined investigative projects, anticipate obstacles, and deliver high-quality, clearly documented outcomes - Working knowledge of NCMEC CyberTip reporting workflows and the judgment to escalate legal or policy uncertainty appropriately - Ability to identify patterns in case or detection data, recommend practical mitigations, and communicate progress and findings to cross-functional partners - Comfort using investigative tools and data; SQL, statistics, or technical collaboration experience is a plus, while engineering is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardwar

Experience investigating child safety abuse or comparable Trust & Safety issues, with sound judgment in sensitive content review and enforcement. Ability to independently own defined investigative projects, anticipate obstacles, and deliver high-quality, clearly documented outcomes. Working knowledge of NCMEC CyberTip reporting workflows and the judgment to escalate legal or policy uncertainty appropriately. Ability to identify patterns in case or detection data, recommend practical mitigations, and communicate progress and findings to cross-functional partners.

Independently review and investigate child safety content and behavior, including CSAM and grooming signals, applying policy consistently and documenting evidence and rationale. Lead well-defined high-risk escalations end to end; anticipate blockers, communicate progress, and make or recommend enforcement decisions within policy and escalation boundaries. Identify potential mandatory-reporting cases and prepare accurate, timely NCMEC CyberTip reports through approved legal and operational review flows. Analyze case and detection data to identify patterns, quality gaps, and emerging abuse trends; propose practical, data-informed improvements to investigative workflows and tooling. Collaborate with Legal, Policy, Product, Engineering, and operations partners to implement scoped mitigations, resolve dependencies, and clearly communicate findings and outcomes.