{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/human-review-workflows"},"x-facet":{"type":"skill","slug":"human-review-workflows","display":"Human Review Workflows","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b7959209-0c2"},"title":"Safeguards Policy Analyst, Fraud & Scams","description":"<p>As a Safeguards Policy Analyst focused on Fraud &amp; Scams, you will design, build, and execute enforcement workflows that detect and mitigate fraud and scam-related harms on Anthropic&#39;s products.</p>\n<p>This role sits within the Integrity &amp; Authenticity (I&amp;A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.</p>\n<p>Key responsibilities include drafting, maintaining, and iterating on Fraud &amp; Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.</p>\n<p>You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.</p>\n<p>Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.</p>\n<p>If you have experience working as a Trust &amp; Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context, you may be a good fit for this role.</p>\n<p>Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.</p>\n<p>The annual compensation range for this role is $245,000-$285,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b7959209-0c2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5174857008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$245,000-$285,000 USD","x-skills-required":["policy design","fraud and scam analysis","threat modeling","automated enforcement systems","human review workflows","ML and Engineering collaboration"],"x-skills-preferred":["generative AI risk landscape","threat intelligence","financial crimes compliance","law enforcement"],"datePosted":"2026-04-18T15:55:28.514Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"policy design, fraud and scam analysis, threat modeling, automated enforcement systems, human review workflows, ML and Engineering collaboration, generative AI risk landscape, threat intelligence, financial crimes compliance, law enforcement","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":285000,"unitText":"YEAR"}}}]}