Safeguards Enforcement Analyst, Ban Evasion & Recidivism

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

As a Safeguards Enforcement Analyst on the account abuse team youll build and execute enforcement workflows that keep our products safe with a focus on detecting and mitigating potential harm. Your initial focus will be recidivism: a ban that an actor can evade in five minutes isnt enforcement its friction. Youll own detecting when banned actors return linking accounts across identities and closing the re-registration paths that matter most. The mandate includes our highest-stakes populations including preventing evasion of child-safety enforcement bans where the cost of a missed return is unacceptable.

This position may expand into broader areas of enforcement over time. Safety is core to our mission and youll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless helpful and honest way.

• Investigate evasion clusters end to end from a single appeal or signal anomaly to the full linked actor network
• Convert individual findings into durable systemic controls and detection proposals
• Operationalize re-registration controls for high-severity ban populations
• Partner with Engineering and Data Science teams on account-linking signals to connect returning actors across identities
• Build the recidivism measurement framework: how often banned actors return how fast we catch them and which controls reduce return rates
• Author playbooks for contractor-supported evasion review with QA against your own gold standard
• Keep up to date with emerging AI policy enforcement best practices and use these to inform our decision-making and workflows

• Experience investigating ban evasion multi-accounting or repeat fraud actors at a platform with adversarial users
• Fluency in SQL and comfort building your own analyses across large account and event datasets
• Experience working with fraud or identity-linking signals and a working understanding of their precision/recall tradeoffs
• Rigor about evidence standards comfort with the asymmetric cost of false positives in severe-harm enforcement
• A track record of turning one-off investigations into repeatable detection logic and policy
• Strong written communication skills with experience producing clear briefs and recommendations for technical and non-technical stakeholders
• Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

• Experience using payment or network risk signals in an enforcement context
• Experience with child-safety or other high-severity integrity enforcement
• Experience collaborating directly with detection engineering or data science teams on rule deployment
• A deep interest in AI safety and responsible technology development
• Experience writing effective prompts for generative AI systems in a content review or enforcement context

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.