ABOUT xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
As a Safety Operations Senior Analyst for Child Safety, you will contribute to xAI's mission by training and refining Grok to enforce our terms of service and support functions. Your work will directly impact the safety of our products, X, and Grok, by minimizing existential risks, enforcing xAI’s rules, and promoting responsible development, helping to prevent illegal and harmful content.
RESPONSIBILITIES:
- Monitor and take action on content and behavior that goes against our terms of service, escalating as needed.
- Have deep expertise in online child safety, including the identification, investigation, and mitigation of a broad range of child safety threats and risks.
- Investigate complex cases involving child safety, with the ability to recognize when escalation to internal legal teams and/or external reporting (e.g., NCMEC reports when applicable) is required.
- Monitor and take appropriate action on content and user behavior that violates xAI’s terms of service with a primary focus on protecting minors.
- Respond effectively to time-sensitive escalations in high-impact, often ambiguous situations.
- Process appeals, audit automations, and properly label use cases in the system.
- Provide labels, annotations, and inputs on projects involving safety protocols, risk scenarios, and policy compliance.
- Support the delivery of high-quality curated data that reinforces xAI’s rules and ethical alignment.
- Collaborate with team members to provide feedback on tasks that improve AI's defenses to detect illegal and unethical behavior, as well as align Grok with our rules enforcement.
BASIC QUALIFICATIONS:
- Expertise in improving Large Language Models (LLMs), specifically related to CSE, to maximize efficiencies in enforcement and support and ability to propose solutions to increase security and safety of our platform.
- Proven expertise in identifying, mitigating, and preventing Child Sexual Abuse Material (CSAM) and Child Sexual Exploitation (CSE), including grooming behaviors and risks in AI-generated content, with strong knowledge of relevant legal obligations (such as NCMEC reporting) and industry standards for protecting minors.
- Proven experience in online safety and reducing harm to protect our users and preserve Free Speech in the global public square.
- Ability to interpret and apply xAI safety policies effectively.
- Proficiency in analyzing complex scenarios, with strong skills in ethical reasoning and risk assessment.
- Strong ability to utilize resources, guidelines, and frameworks for accurate safety-focused actions and escalations.
- Strong communication, interpersonal, analytical, and ethical decision-making skills.
- Commitment to continuous improvement of processes to prioritize safety and risk mitigation.
- Expertise in data analysis to identify emerging abuse vectors, uncover opportunities for operational efficiencies, and design automations that strengthen enforcement effectiveness and platform safety.
- 3+ years of professional experience working in online child safety, criminal investigations, Trust & Safety operations, or a closely related field.
PREFERRED SKILLS AND EXPERIENCE:
- Experience working in a Trust and Safety for a social media company, leveraging AI or other automation tools.
- Experience collaborating with child safety organizations (such as NCMEC) and utilizing specialized detection tools or developing classifiers for CSAM/CSE in social media or generative AI platforms.
- Expertise in red-teaming and adversarial testing of Large Language Models to proactively identify novel abuse vectors, jailbreaks, and safety failure modes, with a proven ability to translate findings into concrete improvements for enforcement systems and platform robustness.
This role may involve exposure to sensitive or graphic content, including vulgar language, violent threats, pornography, and other graphic images.
_xAI is an equal opportunity employer. For details on data processing, view our _Recruitment Privacy Notice.