Posted 7h ago

xAI Posted 8d ago
Supervisor, Child Safety Operations
Location
Austin
Contract
Permanent
Full-time
Salary
Not disclosed
Experience
5+ years
Mid-level level
Job summary
Responsibilities
SpaceXSI’s Safety team protects free expression while ensuring our users can safely and successfully engage with our platform through robust policy enforcement. Child Safety is our highest-stakes area: the team identifies, investigates, and removes child safety related abuse across X, Grok and X…
- Lead the Austin based Child Safety team, a team of analysts (including senior analysts) covering X, Grok and X Money, with consistent standards across all shifts and strict…
- Act as the escalation layer for Child Safety: be hands-on with complex, urgent, and high-profile cases, including high profile accounts, internal escalations from law enforcement…
- Own NCMEC reporting decisions for the team. Ensure every enforcement decision is accurate, well-documented, and meets legal obligations, Bring thoughtful, well-reasoned…
- Run the team’s response to viral incidents and emerging abuse trends: track results, and escalate patterns quickly.
- Take an automation-first approach. Partner with Program Leads to calibrate classifiers and turn findings into concrete improvements.
What they're looking for
- 5+ years of experience in online child safety, Trust & Safety operations, criminal investigations, or a closely related field, including 2+ years leading or supervising a team.
- Proven expertise in identifying and investigating CSAM, CSE and non-CSE related child safety areas, including grooming behaviors and risks in AI-generated content, with strong…
- Skilled in crisis and escalation management, with the ability to make sound, defensible decisions under pressure and navigate ambiguity in time-sensitive, high-impact situations.
- Able to apply SpaceXSI safety policies with judgment, weighing the protection of minors against free expression in the global public square.
- Proficient in data analysis with hands-on experience using LLMs, SQL, or Python to extract insights, identify emerging abuse vectors, and optimize operational performance.
Tech stack
Read the full job posting
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