Child Safety Researcher

Alice is seeking a highly skilled, resilient, and technical Child Safety Researcher to join our team. In this role, you will be on the front lines of investigating complex online child safety violations, handling sensitive content reviews, and developing technical automations to scale our policy and enforcement operations. This is a high-impact, multi-faceted position that requires blending deep domain expertise in child safety with hands-on scripting and data engineering skills to transform raw queue data into actionable signals and automated review processes. Key Responsibilities • Investigate & Evaluate Complex Cases: Review, validate, and adjudicate high-risk, graphic, and sensitive child safety content, navigating nuanced contexts involving legal, medical, or parental scenarios. • Extract Signals & Insights: Analyze review queues, large datasets, and user-generated content to identify new adversarial shifts, unknown unknowns, and critical keywords that inform policy updates. • Build Local Automations & Scripts: Design, write, and maintain scripts and local tools to automate review workflows, generate suggestions, and increase overall queue efficiency. • Policy & Enforcement Collaboration: Translate raw investigation findings into structured intelligence reports and actionable recommendations for client policy frameworks and engineering teams. • Quality & Model Support: Partner with product and AI teams to label golden datasets, support ML-based labeling QA, and improve automated detection models.

Requirements: • Minimum 5 years of specialized experience in online child safety, content policy enforcement, or related threat intelligence research. • Workplace Requirement: Ability to work full-time (5 days a week) on-site from our office. • Content Resilience: Demonstrated ability and willingness to handle continuous exposure to graphic, harsh, and distressing child safety content. • Domain & Policy Expertise: Deep subject matter expertise in online child safety, content review operations, and handling complex review queues. • Technical & Automation Skills: Hands-on experience writing scripts (e.g., Python, Bash) and building local workflow automations to process data and optimize queue operations. • Data & Signal Extraction: Proven capability to analyze large datasets, spot emerging patterns/signals, and extract actionable insights for policy enforcement. • Communication: Strong written and verbal communication skills in English to produce detailed intel reports.