{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/human-preferences"},"x-facet":{"type":"skill","slug":"human-preferences","display":"Human Preferences","count":3},"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_cd02d1a1-0e8"},"title":"Communications Lead, Claude Code","description":"<p>We&#39;re looking for a Communications Lead to own comms for Claude Code. You&#39;ll sit on the Product Communications team, working day-to-day with the Claude Code product team, developer relations, and marketing.</p>\n<p>The media landscape for developer tools doesn&#39;t look like it did five years ago. We need someone who understands both traditional press and the channels where developers form opinions. You might have come up through an in-house comms team, or you might have run launches inside product marketing, handled press from a DevRel role, or found your way to this work from somewhere adjacent.</p>\n<p>You should be a Claude Code user yourself and know the product well.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own communications for Claude Code, from the big launches to the steady rhythm of updates, community moments, and everything in between</li>\n<li>Build and maintain strong relationships with journalists, newsletter writers, podcasters, and creators covering dev tools and the AI ecosystem</li>\n<li>Lead cross-functional product launch communications, coordinating messaging across comms, marketing, developer relations, and product</li>\n<li>Advise leadership and DevRel when things move fast or catch fire, whether it’s an incident or a community thread</li>\n<li>Translate complex technical work into stories that land with developers and still make sense to broader audiences</li>\n<li>Develop messaging frameworks and content strategies that work across technical and non-technical audiences</li>\n<li>Prepare Claude Code engineers and product leads for external moments: podcasts, talks, press, etc.</li>\n<li>Think across channels (press, social, community, owned) and know which lever to pull for each moment</li>\n<li>Pay attention to what&#39;s actually working and build the program from there</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 8–12 years of experience in communications, PR, or developer marketing, with meaningful time focused on technical products or developer audiences</li>\n<li>Use Claude Code heavily and can talk specifically about how you use it in your day-to-day</li>\n<li>Are high-agency and low-ego, with a bias to action</li>\n<li>Write clearly and concisely, whether it&#39;s a launch post or a cross-functional update, a lot of context moves through this role and people need to be able to follow it</li>\n<li>Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage</li>\n<li>Are very online, follow the right people, know what&#39;s moving through Hacker News and developer social chatter, and catch things early</li>\n<li>Have real fluency in developer culture and know how trust gets earned there</li>\n</ul>\n<p>Strong candidates may also</p>\n<ul>\n<li>Have experience at developer tools companies, infrastructure products, or open source projects</li>\n<li>Have an existing network in developer media, technical journalism, or the creator space</li>\n<li>Have experience managing communications for AI or ML products</li>\n</ul>\n<p>The annual compensation range for this role is $185,000-$255,000 USD.</p>\n<p>Logistics</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p>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&#39;re interested in this work.</p>\n<p>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&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different</p>\n<p>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&#39;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.</p>\n<p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>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.</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_cd02d1a1-0e8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5153586008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$185,000-$255,000 USD","x-skills-required":["communications","PR","developer marketing","technical products","developer audiences","AI","ML","GPT-3","Circuit-Based Interpretability","Multimodal Neurons","Scaling Laws","AI & Compute","Concrete Problems in AI Safety","Learning from Human Preferences"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:22.697Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"communications, PR, developer marketing, technical products, developer audiences, AI, ML, GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, Learning from Human Preferences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6aa46bac-783"},"title":"Software Engineer, Cybersecurity Products","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s 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.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You&#39;ll work across the stack to prototype new ideas and build from the ground up.</p>\n<p>This role sits at the intersection of research, product, and go-to-market. You&#39;ll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what&#39;s worth building, and the drive to move fast.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Prototype and build new AI-powered products for cybersecurity</li>\n</ul>\n<ul>\n<li>Iterate quickly based on customer feedback and what you learn</li>\n</ul>\n<ul>\n<li>Collaborate with research teams to identify and develop new model capabilities for security applications</li>\n</ul>\n<ul>\n<li>Engage directly with customers and partners to understand workflows and inform product direction</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 7+ years of experience as a software engineer</li>\n</ul>\n<ul>\n<li>Experience developing cybersecurity products</li>\n</ul>\n<ul>\n<li>Enjoy fast iteration and are energized by prototyping new ideas</li>\n</ul>\n<ul>\n<li>Have strong product instincts and enjoy defining what to build, not just how to build it</li>\n</ul>\n<ul>\n<li>Are comfortable working closely with research and go-to-market teams</li>\n</ul>\n<ul>\n<li>Have strong communication skills and can work effectively across functions</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields</li>\n</ul>\n<ul>\n<li>Experience working with AI/ML models and building products on top of them</li>\n</ul>\n<ul>\n<li>Experience building agentic applications</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>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&#39;re interested in this work.</strong></p>\n<p><strong>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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&#39;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.</p>\n<p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p><strong>Come work with us!</strong></p>\n<p>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. <strong>Guidance on Candidates&#39; AI Usage:</strong> Learn about our policy for using AI in our application process</p>\n<p>Interested in building your career at Anthropic? Get future opportunities by following us on LinkedIn and Twitter.</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_6aa46bac-783","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5063007008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000 USD","x-skills-required":["software engineer","cybersecurity products","AI/ML models","incident response","reverse engineering","network analysis","penetration testing"],"x-skills-preferred":["agentic applications","circuit-based interpretability","multimodal neurons","scaling laws","AI & compute","concrete problems in AI safety","learning from human preferences"],"datePosted":"2026-03-08T13:52:59.143Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineer, cybersecurity products, AI/ML models, incident response, reverse engineering, network analysis, penetration testing, agentic applications, circuit-based interpretability, multimodal neurons, scaling laws, AI & compute, concrete problems in AI safety, learning from human preferences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e3331e3-3f3"},"title":"Software Engineer, Research - Human Data","description":"<p><strong>Software Engineer, Research - Human Data</strong></p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the <strong>Human Data</strong> team is at the heart of that effort.</p>\n<p>The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.</p>\n<p>We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.</li>\n</ul>\n<ul>\n<li>Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.</li>\n</ul>\n<ul>\n<li>Design and iterate on user-facing tools and backend services to support high-quality data workflows</li>\n</ul>\n<ul>\n<li>Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms</li>\n</ul>\n<ul>\n<li>Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have strong software engineering fundamentals and experience building production systems at scale</li>\n</ul>\n<ul>\n<li>Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces</li>\n</ul>\n<ul>\n<li>Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems</li>\n</ul>\n<ul>\n<li>Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values</li>\n</ul>\n<ul>\n<li>Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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