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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5f768d1-df6"},"title":"Full-Stack Engineer, AI Data Platform","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<ul>\n<li>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li>\n</ul>\n<ul>\n<li>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li>\n</ul>\n<ul>\n<li>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li>\n</ul>\n<p>Why Join Us</p>\n<ul>\n<li>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</li>\n</ul>\n<ul>\n<li>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li>\n</ul>\n<ul>\n<li>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li>\n</ul>\n<ul>\n<li>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</li>\n</ul>\n<ul>\n<li>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</li>\n</ul>\n<p>Role Overview</p>\n<p>We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.</p>\n<p>You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.</p>\n<p>Your Impact</p>\n<ul>\n<li>Own End-to-End Product Features</li>\n</ul>\n<p>Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.</p>\n<ul>\n<li>Enable Human-in-the-Loop AI Training</li>\n</ul>\n<p>Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.</p>\n<ul>\n<li>Support RLHF and Preference Data Workflows</li>\n</ul>\n<p>Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.</p>\n<ul>\n<li>Leverage LLMs in the Review Loop</li>\n</ul>\n<p>Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.</p>\n<ul>\n<li>Advance AI Evaluation</li>\n</ul>\n<p>Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).</p>\n<ul>\n<li>Create Intuitive, Reviewer-Focused Interfaces</li>\n</ul>\n<p>Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.</p>\n<ul>\n<li>Architect Scalable Data &amp; Service Layers</li>\n</ul>\n<p>Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.</p>\n<ul>\n<li>Solve Ambiguous, Real-World Problems</li>\n</ul>\n<p>Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.</p>\n<ul>\n<li>Ensure System Reliability</li>\n</ul>\n<p>Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.</p>\n<ul>\n<li>Elevate the Team</li>\n</ul>\n<p>Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.</p>\n<p>What You Bring</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a software or machine learning engineering role.</li>\n</ul>\n<ul>\n<li>A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.</li>\n</ul>\n<ul>\n<li>Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.</li>\n</ul>\n<ul>\n<li>Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).</li>\n</ul>\n<ul>\n<li>Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<ul>\n<li>High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).</li>\n</ul>\n<ul>\n<li>Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.</li>\n</ul>\n<ul>\n<li>Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).</li>\n</ul>\n<ul>\n<li>Previous experience with search engines (e.g., ElasticSearch).</li>\n</ul>\n<ul>\n<li>Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.</li>\n</ul>\n<p>Engineering at Labelbox</p>\n<p>At Labelbox Engineering, we&#39;re building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We&#39;ve cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.</p>\n<p>Our Technology Stack</p>\n<p>Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:</p>\n<ul>\n<li>Frontend: React.js with Redux, TypeScript</li>\n</ul>\n<ul>\n<li>Backend: Node.js, TypeScript, Python, some Java &amp; Kotlin</li>\n</ul>\n<ul>\n<li>APIs: GraphQL</li>\n</ul>\n<ul>\n<li>Cloud &amp; Infrastructure: Google Cloud Platform (GCP), Kubernetes</li>\n</ul>\n<ul>\n<li>Databases: MySQL, Spanner, PostgreSQL</li>\n</ul>\n<ul>\n<li>Queueing / Streaming: Kafka, PubSub</li>\n</ul>\n<p>Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.</p>\n<p>Annual base salary range $130,000-$200,000 USD</p>\n<p>Life at Labelbox</p>\n<ul>\n<li>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</li>\n</ul>\n<ul>\n<li>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</li>\n</ul>\n<ul>\n<li>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</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_d5f768d1-df6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5019254007","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$130,000-$200,000 USD","x-skills-required":["React","Redux","Node.js","TypeScript","Python","Java","GraphQL","MySQL","PostgreSQL","Spanner","Kafka","PubSub","GCP","Kubernetes","Cloud computing","Containerization","Database management","Cloud infrastructure","API design","Backend services","Data models","Infrastructure"],"x-skills-preferred":["AI tools","Cursor","GitHub Copilot","Data annotation","Monitoring","Agent evaluation","Data infrastructure","Data pipelines","Streaming systems","Storage architectures","Search engines","ElasticSearch","Database optimization","Schema design","Indexing","Query tuning"],"datePosted":"2026-04-18T15:57:55.464Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"React, Redux, Node.js, TypeScript, Python, Java, GraphQL, MySQL, PostgreSQL, Spanner, Kafka, PubSub, GCP, Kubernetes, Cloud computing, Containerization, Database management, Cloud infrastructure, API design, Backend services, Data models, Infrastructure, AI tools, Cursor, GitHub Copilot, Data annotation, Monitoring, Agent evaluation, Data infrastructure, Data pipelines, Streaming systems, Storage architectures, Search engines, ElasticSearch, Database optimization, Schema design, Indexing, Query tuning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":130000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c1b40ca4-8d1"},"title":"Investment Banking Expert - M&A","description":"<p><strong>About the Role</strong></p>\n<p>We are seeking a skilled Investment Banking - M&amp;A Expert to enhance xAI&#39;s AI models by providing high-quality data annotations and inputs tailored to M&amp;A investment banking contexts.</p>\n<p>In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.</p>\n<p>You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&amp;A dynamics.</p>\n<p>This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Utilize proprietary software to provide accurate input and labels for M&amp;A investment banking projects, ensuring high-quality data for AI model training.</li>\n<li>Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.</li>\n<li>Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.</li>\n<li>Assist in designing and improving efficient annotation tools tailored for M&amp;A investment banking data.</li>\n<li>Select and analyze complex problems in M&amp;A investment banking fields aligned with your expertise to enhance AI model performance.</li>\n<li>Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Professional experience in M&amp;A investment banking or related fields (e.g., M&amp;A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).</li>\n<li>Proficiency in reading and writing informal and professional English.</li>\n<li>Strong communication, interpersonal, analytical, and organizational skills.</li>\n<li>Excellent reading comprehension and ability to exercise autonomous judgment with limited data.</li>\n<li>Passion for technological advancements and innovation in M&amp;A investment banking.</li>\n</ul>\n<p><strong>Preferred Skills and Experience</strong></p>\n<ul>\n<li>Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).</li>\n<li>Experience mentoring or training others in M&amp;A investment banking practices, such as financial modeling, valuation, or deal execution.</li>\n<li>Comfort with recording audio or video sessions for data collection.</li>\n<li>Familiarity with AI or data annotation workflows in a technical setting.</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.</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_c1b40ca4-8d1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4933187007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["Mergers and Acquisitions","Financial Modeling","Valuation Techniques","Deal Structuring","Due Diligence","Pitch Books","Fairness Opinions"],"x-skills-preferred":["Relevant certification or advanced training","Experience mentoring or training others","Comfort with recording audio or video sessions","Familiarity with AI or data annotation workflows"],"datePosted":"2026-04-18T15:56:31.770Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Mergers and Acquisitions, Financial Modeling, Valuation Techniques, Deal Structuring, Due Diligence, Pitch Books, Fairness Opinions, Relevant certification or advanced training, Experience mentoring or training others, Comfort with recording audio or video sessions, Familiarity with AI or data annotation workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d40c355-2ab"},"title":"Tax Law Expert","description":"<p>We are seeking a skilled Tax Law Expert to enhance xAI&#39;s AI models by providing high-quality data annotations and inputs tailored to tax law contexts. In this role, you will leverage your expertise in complex tax structuring, wealth transfer taxation, trust and estate planning, charitable gifting strategies, private foundations, and the tax implications of diverse assets to support the training of advanced AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Utilizing proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.</li>\n<li>Delivering curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.</li>\n<li>Collaborating with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.</li>\n<li>Assisting in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.</li>\n<li>Selecting and analyzing complex problems in tax law fields aligned with your expertise to enhance AI model performance.</li>\n<li>Interpreting, analyzing, and executing tasks based on evolving instructions, maintaining precision and adaptability.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>A Juris Doctor (J.D.) degree and active admission to a state bar.</li>\n<li>Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.</li>\n<li>Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.</li>\n<li>Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.</li>\n<li>Proficiency in reading and writing informal and professional English.</li>\n<li>Strong communication, interpersonal, analytical, and organizational skills.</li>\n<li>Excellent reading comprehension and ability to exercise autonomous judgment with limited data.</li>\n<li>Passion for technological advancements and innovation in legal practice.</li>\n</ul>\n<p>Preferred qualifications include extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm, proven track record handling tax implications of complex asset portfolios and substantial wealth transfers, experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance, comfort with recording audio or video sessions for data collection, and familiarity with AI or data annotation workflows in a technical setting.</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_5d40c355-2ab","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5085005007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|contract","x-salary-range":"$100/hour - 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You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training.</li>\n<li>Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution.</li>\n<li>Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.</li>\n<li>Assist in designing and improving efficient annotation tools tailored for legal and compliance data.</li>\n<li>Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance.</li>\n<li>Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Must have a J.D. (Juris Doctor) or foreign equivalent.</li>\n<li>At least 2 years of practicing law in one or more of the following practice areas: Criminal Law, Civil Litigation, Torts, International Law, Health Law, Civil Rights Law, Constitutional Law, Construction Law, Education Law, Employment and Labor Law, Environmental Law, Corporate Law, Business Law, Family Law, Immigration Law, Intellectual Property Law, Patent Law, Real Estate Law, Tax Law, Bankruptcy Law, Administrative Law, Antitrust Law, Privacy and Data Protection Law, Cybersecurity Law, Energy Law.</li>\n<li>Strong legal analysis and writing skills, including the ability to draft clear, concise, and well-reasoned legal documents and memoranda</li>\n<li>Proficiency in reading and writing informal and professional English.</li>\n<li>Strong communication, interpersonal, analytical, and organizational skills.</li>\n<li>Excellent reading comprehension and ability to exercise autonomous judgment with limited data.</li>\n<li>Passion for technological advancements and innovation in legal processes.</li>\n<li>Relevant certification, license, or advanced training (bar admission or similar legal certification)</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Experience mentoring or training others in legal practices.</li>\n<li>Comfort with recording audio or video sessions for data collection.</li>\n<li>Familiarity with AI or data annotation workflows in a technical setting.</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_a091e021-30e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4931315007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - 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On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. 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Develop detailed examples of coverage initiation, earnings analysis, estimate revisions, industry-specific data analysis, and investment recommendation frameworks. Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling. Help design and refine efficient annotation tools tailored to equity research workflows. Identify, analyze, and break down complex investment analysis problems aligned with your professional experience to improve model performance. Execute tasks accurately while maintaining consistency and adapting to new requirements.</p>\n<p>Basic Qualifications: Minimum of 2 years of professional experience in sell-side or buy-side equity research, with demonstrated sector coverage responsibility. Proficiency in financial modeling, valuation techniques, and financial statement analysis. Strong command of written and spoken English (informal and professional). Excellent communication, interpersonal, analytical, and organizational skills. Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information. Genuine interest in technological innovation and its application to investment research.</p>\n<p>Preferred Skills and Experience: Relevant certifications (e.g., FINRA licenses such as Series 7/63/86/87, current or expired). Familiarity with Bloomberg, FactSet, Capital IQ, or similar research platforms. Experience writing and publishing research notes, earnings summaries, or coverage reports for institutional clients. Experience mentoring or training junior associates in research methodologies, modeling best practices, or report writing. Quantitative mindset with ability to integrate structured data insights into fundamental analysis. Comfort recording audio or video sessions for data collection purposes. Prior exposure to AI, machine learning, data visualization, or data annotation workflows.</p>\n<p>Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. 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Specific details and role-specific information will be provided to you during the interview process.</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_ab40cf6b-cdb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4933173007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["financial modeling","valuation techniques","financial statement analysis","equity research","capital markets","fundamental analysis","investment research"],"x-skills-preferred":["Bloomberg","FactSet","Capital IQ","research platforms","report writing","data visualization","data annotation workflows"],"datePosted":"2026-04-18T15:36:07.159Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"financial modeling, valuation techniques, financial statement analysis, equity research, capital markets, fundamental analysis, investment research, Bloomberg, FactSet, Capital IQ, research platforms, report writing, data visualization, data annotation workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_405987f7-4e8"},"title":"Finance Expert - 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For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.</p>\n<p>Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications.\\n\\n## About the Role\\n\\nAs a Program Manager (PGM) in the Human Data team, you will partner with our research teams, operations, and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world.\\n\\nThis role is based in our San Francisco HQ.\\n\\n## In this role, you will:\\n\\n- Work in a high-velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world\\n\\n- Work closely with external vendors, trainers, and internal researchers to collect, review, and deliver high-quality data\\n\\n- Gather requirements, write instructions, define success criteria, and calibrate the AI trainers\\n\\n- Use internal tooling to assess labeled data and provide feedback to AI trainers\\n\\n- Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience\\n\\n## You’ll thrive in this role if:\\n\\n- You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat.\\n\\n- You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission.\\n\\n- You have a can-do attitude. You don’t shy away from rolling up your sleeves and tackling the &quot;grunt work&quot; with the same enthusiasm as high-visibility tasks.\\n\\n- You’re an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships.\\n\\n- You are resilient and flexible. Setbacks don’t rattle you. You bounce back quickly, adjust strategies as needed, and maintain a positive, solution-oriented mindset.\\n\\n- You’re super organized amidst chaos. Even when things are moving quickly, you keep track of details, manage competing demands, and bring structure to complexity.\\n\\n- You enjoy operational work. While you might have an interest in broader topics like safety, you find satisfaction in executing operational tasks efficiently and effectively.\\n\\n- You have a knack for data. You’ve gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes.\\n\\n- You’re energized by start-up environments. If you enjoy the hustle, resourcefulness, and rapid iteration typical of start-ups, you’ll feel right at home.\\n\\n- You have some relevant experience. Ideally, you have at least 1-2 years of relevant experience and are eager to grow within a role that challenges and develops your skills.\\n\\n## About OpenAI\\n\\nOpenAI 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.\\n\\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\\n\\nFor additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).\\n\\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\\n\\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.\\n\\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9</strong></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_fcf55c3d-f98","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/932c9cc1-c542-4f67-8d0d-443de87b8213","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$162K – $240K • Offers Equity","x-skills-required":["data analytics","data annotation","AI","LLMs","Agents","program management","operations","engineering"],"x-skills-preferred":["start-up environments","resourcefulness","rapid iteration"],"datePosted":"2026-03-08T22:15:13.328Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data analytics, data annotation, AI, LLMs, Agents, program management, operations, engineering, start-up environments, resourcefulness, rapid iteration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_19bfd5fa-f5d"},"title":"Senior Data Scientist (Computer Vision Engineer)","description":"<p>Joining Razer will place you on a global mission to revolutionize the way the world games. 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