Safeguards Analyst, Human Exploitation & Abuse

As a Safeguards Analyst focusing on human exploitation and abuse, you will be responsible for building and executing enforcement workflows that detect and mitigate the use of our products to facilitate human trafficking, sextortion, image-based sexual abuse, bullying, and harassment. As a member of the user well-being team, your initial focus will be on standing up detection, review, and escalation workflows for this domain -- from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways. This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way. Important context In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Responsibilities: Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces Conduct deep-dive investigations into suspected exploitation activity -- using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets -- then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team Study trends internally and in the broader ecosystem -- including evolving trafficking and sextortion tactics -- to anticipate how AI systems could be misused for exploitation as capabilities advance Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material Build and maintain relationships with external intelligence partners -- including hotlines, NGOs, and industry hash-sharing consortia -- to inform our approach and enable appropriate real-world escalation You may be a good fit if you have: Required 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning Strong attention to detail and ability to maintain accurate documentation Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives) Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context Experience working with generative AI products, including writing effective prompts for content review and enforcement A deep interest in AI safety and responsible technology development Experience standing up real-world harm escalation pathways or working with law enforcement referral processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links--visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact -- advancing our long-term goals of steerable, trustworthy AI -- rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. 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