* 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.
About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!
* Minimum 2+ 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.
