{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/content-integrity"},"x-facet":{"type":"skill","slug":"content-integrity","display":"Content Integrity","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_1410a549-44e"},"title":"Director of Machine Learning, Safety & Mods","description":"<p>We&#39;re looking for a Director of Machine Learning to lead Reddit&#39;s efforts in building industry-leading ML systems that keep our platform safe and foster healthy online communities.</p>\n<p>This leader will drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.</p>\n<p>In this role, you will own the roadmap for Safety and moderation ML, lead a team of applied scientists and engineers, and partner cross-functionally across Product, Engineering, Safety operations, Trust &amp; Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems.</p>\n<p>You will leverage modern ML , including fine-tuned LLMs , to ensure Reddit remains a safe, welcoming, and positive environment for our global user base.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set the vision and strategy for applying ML to Trust &amp; Safety, ensuring scalable, proactive protection against evolving abuse patterns.</li>\n</ul>\n<ul>\n<li>Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement.</li>\n</ul>\n<ul>\n<li>Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency.</li>\n</ul>\n<ul>\n<li>Partner with Trust &amp; Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience.</li>\n</ul>\n<ul>\n<li>Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment.</li>\n</ul>\n<ul>\n<li>Champion ethical and responsible AI practices in all Safety ML solutions.</li>\n</ul>\n<ul>\n<li>Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards.</li>\n</ul>\n<ul>\n<li>Represent Safety ML leadership internally and externally , including conferences, publications, industry groups, and cross-company collaboration initiatives.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>10+ years of experience in Machine Learning, AI, or applied research, with a strong background in Trust &amp; Safety, abuse prevention, detection, or content integrity.</li>\n</ul>\n<ul>\n<li>5+ years of experience leading multi-disciplinary ML teams (applied science, engineering, analytics) in a high-growth or high-impact environment.</li>\n</ul>\n<ul>\n<li>Proven track record of shipping ML systems at scale in production, ideally including transformer-based models and LLM fine-tuning.</li>\n</ul>\n<ul>\n<li>Depth in NLP, content understanding, detection systems, supervised and weak-supervision techniques.</li>\n</ul>\n<ul>\n<li>Strong cross-functional leadership skills, with ability to influence executives and foster alignment across Safety, Product, and Engineering.</li>\n</ul>\n<ul>\n<li>Thought leadership in responsible AI, safety ML research, or safety measurement frameworks.</li>\n</ul>\n<p>Bonus points if you have:</p>\n<ul>\n<li>Experience building or operating real-time abuse detection and automated moderation systems in a complex user-generated content ecosystem.</li>\n</ul>\n<ul>\n<li>Prior work in consumer-facing tech, social platforms, or large-scale community-driven products.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n</ul>\n<ul>\n<li>401k with Employer Match</li>\n</ul>\n<ul>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n</ul>\n<ul>\n<li>Family Planning Support</li>\n</ul>\n<ul>\n<li>Gender-Affirming Care</li>\n</ul>\n<ul>\n<li>Mental Health &amp; Coaching Benefits</li>\n</ul>\n<ul>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n</ul>\n<ul>\n<li>Generous Paid Parental Leave</li>\n</ul>\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_1410a549-44e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7430544","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$265,800-$365,100 USD","x-skills-required":["Machine Learning","AI","Applied Research","Trust & Safety","Abuse Prevention","Detection","Content Integrity","NLP","Content Understanding","Detection Systems","Supervised and Weak-Supervision Techniques"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:09.971Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, AI, Applied Research, Trust & Safety, Abuse Prevention, Detection, Content Integrity, NLP, Content Understanding, Detection Systems, Supervised and Weak-Supervision Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":265800,"maxValue":365100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b164900-4da"},"title":"Content Integrity Analyst","description":"<p><strong>Content Integrity Analyst</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Trust &amp; Safety Operations</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$252K – $280K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>Trust &amp; Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We support a diverse customer base -- from individual users and early-stage startups to global enterprises -- across ChatGPT, our API, and new product surfaces as they launch.</p>\n<p>Within the Support organization, we partner closely with Product, Engineering, Legal, Policy, Go To Market, and Operations teams to deliver a great user experience at scale while reducing material harm and mitigating catastrophic risks.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re hiring experienced Trust &amp; Safety / Content Integrity operators who can investigate complex cases, apply and evolve usage policy in real-world scenarios, and help build scalable systems that reduce risk over time. You will contribute as a subject-matter expert (SME) on high-stakes escalations, partnering with cross-functional stakeholders to drive fast, defensible outcomes. You will also help design the processes, tooling, and automation that power safe operations at scale.</p>\n<p>This role is ideal for someone who combines strong judgment with sharp analytical instincts, and who enjoys turning ambiguity into clear decisions, repeatable workflows, and durable automation.</p>\n<p><strong>Please note</strong></p>\n<p>This role may involve handling sensitive content, including material that may be highly confidential, sexual, violent, or otherwise disturbing.</p>\n<p><strong>Location</strong></p>\n<p>San Francisco, CA (hybrid: 3 days in office/week)</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li><strong>Apply usage policy with rigor and nuance:</strong> Interpret and apply OpenAI’s usage policies to complex, novel scenarios; provide clear guidance to customers and internal teams; document edge cases and propose policy refinements.</li>\n</ul>\n<ul>\n<li><strong>Mitigate material harm and catastrophic risks:</strong> Triage, assess, and support actions on content and behavior that can drive real-world harm, including high-severity domains; escalate appropriately and help drive cases to resolution.</li>\n</ul>\n<ul>\n<li><strong>Serve as an escalation SME for high-stakes cases:</strong> Support incident response and executive-visible escalations by producing clear assessments, recommending next steps, and coordinating with Legal, Compliance, Security, Product, and Engineering as needed.</li>\n</ul>\n<ul>\n<li><strong>Build scalable trust workflows:</strong> Design and operate processes for human-in-the-loop labeling, content/user reporting, appeals, enforcement actions, and continuous QA -- with a high bar for quality and consistency.</li>\n</ul>\n<ul>\n<li><strong>Drive automation and operational efficiency:</strong> Identify repeatable patterns, translate them into requirements, and partner with Engineering and Data teams to ship tooling and automation (including LLM-enabled automation) that improves speed, accuracy, and coverage.</li>\n</ul>\n<ul>\n<li><strong>Analyze trends and strengthen feedback loops:</strong> Use quantitative and qualitative analysis to surface emerging abuse patterns, measure policy and tooling performance, and feed insights back into detection systems, product mitigations, and policy updates.</li>\n</ul>\n<ul>\n<li><strong>Raise the quality bar:</strong> Define and monitor KPIs, build calibration and QA programs, iterate on reviewer training, and improve guidelines and tooling based on error analysis.</li>\n</ul>\n<ul>\n<li><strong>Enable internal and external teams:</strong> Create playbooks, SOPs, and training that help partner teams understand our enforcement posture, risk thresholds, and operational philosophy.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li><strong>Build for scale:</strong> You’ve taken workflows from zero to one and then scaled them without sacrificing quality.</li>\n</ul>\n<ul>\n<li><strong>Bring deep Trust &amp; Safety experience:</strong> 5+ years in Trust &amp; Safety, integrity, risk, policy enforcement; experience working with vendors is a plus.</li>\n</ul>\n<ul>\n<li><strong>Have strong judgment under ambiguity:</strong> You can make defensible calls in gray areas, write clearly, and adjust quickly as new information arrives.</li>\n</ul>\n<ul>\n<li><strong>Are analytically strong:</strong> You can assess risk, spot trends, and use data to prioritize problems and evaluate solutions.</li>\n</ul>\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_0b164900-4da","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/77b85828-3d4f-4958-b5cf-4787ca04975a","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252K – $280K","x-skills-required":["Trust & Safety","Content Integrity","Usage Policy","Risk Assessment","Policy Enforcement","Incident Response","Automation","Operational Efficiency","Data Analysis","Quality Assurance"],"x-skills-preferred":["LLM-enabled automation","Cloud-based tools","Data visualization","Machine learning","Natural language processing"],"datePosted":"2026-03-06T18:33:11.240Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Trust & Safety, Content Integrity, Usage Policy, Risk Assessment, Policy Enforcement, Incident Response, Automation, Operational Efficiency, Data Analysis, Quality Assurance, LLM-enabled automation, Cloud-based tools, Data visualization, Machine learning, Natural language processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":280000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_af3e0374-74c"},"title":"Engineering Manager (Web Safety)","description":"<p><strong>TLM, Machine Learning, Integrity</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$347K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the team</strong></strong></p>\n<p>The Applied team safely brings OpenAI&#39;s technology to the world. Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting scalable infrastructure and driving safe, responsible deployment. Our customers rely on our APIs to build transformative products, while we ensure responsible usage and platform integrity.</p>\n<p>The Integrity team, within Applied Engineering, safeguards our platform by proactively identifying misuse, preventing abuse, and protecting users. We&#39;re seeking an experienced, hands-on Engineering Manager (Web Safety) to shape the future direction, architect advanced system protections, and lead a focused team of senior Machine Learning Engineers (MLEs).</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies.</li>\n</ul>\n<ul>\n<li>Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements.</li>\n</ul>\n<ul>\n<li>Utilize state-of-the-art models to detect and prevent problematic content effectively.</li>\n</ul>\n<ul>\n<li>Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement.</li>\n</ul>\n<ul>\n<li>Support your team&#39;s professional growth and maintain high performance through mentorship and clear career progression.</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you:</strong></strong></p>\n<ul>\n<li>Bring extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains.</li>\n</ul>\n<ul>\n<li>Have successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems.</li>\n</ul>\n<ul>\n<li>Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team.</li>\n</ul>\n<ul>\n<li>Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions.</li>\n</ul>\n<ul>\n<li>Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues.</li>\n</ul>\n<ul>\n<li>Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions.</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. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_af3e0374-74c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/4e60d650-47a7-44fb-8031-02976c7ddc55","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$347K – $490K • Offers Equity","x-skills-required":["Machine Learning","Web Safety","Content Integrity","Model Training","Deployment Strategies","Team Management","Collaboration","Emotional Intelligence","Empathy"],"x-skills-preferred":["LLMs","Traditional ML models","Solution Design","Model Training","Deployment Processes","Team Collaboration","Emotional Intelligence","Empathy"],"datePosted":"2026-03-06T18:24:24.394Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Web Safety, Content Integrity, Model Training, Deployment Strategies, Team Management, Collaboration, Emotional Intelligence, Empathy, LLMs, Traditional ML models, Solution Design, Model Training, Deployment Processes, Team Collaboration, Emotional Intelligence, Empathy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":347000,"maxValue":490000,"unitText":"YEAR"}}}]}