{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/geology"},"x-facet":{"type":"skill","slug":"geology","display":"Geology","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_4c784db1-2df"},"title":"Earth Science Tutor","description":"<p>As an AI Tutor - Earth Science Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software.</p>\n<p>This role involves collaborating closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced Earth Science fields to drive significant improvements in model performance.</p>\n<p>This opportunity demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Solve problems that help drive innovation in Earth Science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.</li>\n<li>Choose problems from various fields across Earth Science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in earth science, geophysics, oceanography, atmospheric science, or a highly related field.</li>\n<li>Expertise and specialization in an Earth Science subdomain, including but not limited to oceanography, geophysics, geochemistry, atmospheric science, geology, seismology.</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources, databases, and online resources is essential.</li>\n<li>Outstanding communication, interpersonal, analytical, and organizational capabilities.</li>\n<li>Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.</li>\n<li>Strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Advanced expertise in earth science, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.</li>\n<li>Previous AI Tutoring experience.</li>\n<li>Teaching experience (as a professor, teacher, or tutor).</li>\n<li>Experience in technical writing, journalism, or a professional writing 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_4c784db1-2df","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/4977435007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$45/hour - $75/hour","x-skills-required":["earth science","geophysics","oceanography","atmospheric science","geochemistry","geology","seismology","AI technologies","annotation tools","data curation"],"x-skills-preferred":["advanced expertise in earth science","AI tutoring experience","teaching experience","technical writing experience"],"datePosted":"2026-04-18T15:35:02.158Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"earth science, geophysics, oceanography, atmospheric science, geochemistry, geology, seismology, AI technologies, annotation tools, data curation, advanced expertise in earth science, AI tutoring experience, teaching experience, technical writing experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b5b3e93a-b84"},"title":"Senior Software Engineer, Decision Science","description":"<p>At KoBold, we believe that a modern scientific computing stack will enable systematic mineral exploration and materially improve our rate of mineral discovery. This role is a key ingredient to this strategy. As a member of our scientific computing team, you will apply decision science techniques in order to build scalable systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists, software engineers, and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Architect, implement, and maintain decision science libraries that will be used in KoBold&#39;s mineral exploration analyses.</li>\n<li>Build tooling to increase the velocity of our decision making, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable pipelines; and organizing ML models and their outputs for repeatability and discoverability.</li>\n<li>Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code</li>\n<li>Collaborate with data scientists, geoscientists and engineers to invent the modern decision science technology for mineral exploration</li>\n<li>Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold&#39;s exploration products and design new technologies to further discovery. Travel is approximately twice per year depending on project needs.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>At least 5 years of experience in the field of decision science with a strong software engineering focus, though most great candidates will have closer to 10.</li>\n<li>Track record of building production quality data processing solutions or tooling that have delivered business value</li>\n<li>Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches</li>\n<li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li>\n<li>Deep experience with measured scientific data</li>\n<li>Experience in visualizing scientific data for domain experts</li>\n<li>Experience in MLops and in the making of robust ML systems</li>\n<li>Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows</li>\n<li>Capacity to dive deep on novel challenging problems in applying decision science to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources</li>\n<li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li>\n</ul>\n<p>Work practices and motivation:</p>\n<ul>\n<li>Ability to take ownership and responsibility of large projects.</li>\n<li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.</li>\n<li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. 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While this role is level-agnostic, it is best suited for engineers with experience owning and working in highly ambiguous problem spaces.</p>\n<p>About the company:\nThe mining industry has steadily become worse at finding new ore deposits, requiring &gt;10X more capital to make discoveries compared to 30 years ago. KoBold Metals builds AI models for mineral exploration and deploys those models,alongside our novel sensors,to guide decisions on KoBold-owned-and-operated exploration programs.</p>\n<p>About The Role:\nIn this role, you will partner with exploration and engineering teams to build reliable, scalable infrastructure that makes it easier to turn data and models into real-world exploration insights. You will improve observability, streamline MLOps workflows, and maintain shared tools like JupyterHub that enable faster experimentation and collaboration. Your work will help create a solid foundation for scientists and engineers to focus on discovery instead of infrastructure.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design, build, and operate compute infrastructure that is both scalable and reliable to support critical services.</li>\n<li>Work closely with engineering teams to embed observability, reliability, and security throughout the software development process.</li>\n<li>Create and maintain automation for monitoring, deployments, and incident response to keep operations efficient and predictable.</li>\n<li>Lead or support capacity planning, performance reviews, and system tuning to ensure stable and efficient systems.</li>\n<li>Join the on-call rotation and take part in incident response, troubleshooting, and resolution.</li>\n<li>Develop and refine monitoring and alerting to catch issues early and reduce downtime.</li>\n<li>Establish and maintain disaster recovery and business continuity practices that protect the organization against failures.</li>\n<li>Regularly review and improve our tools and processes to strengthen system visibility and reliability.</li>\n<li>Investigate points of fragility in distributed systems and understand how complex systems behave under stress in order to improve resilience.</li>\n<li>Continually learn about mineral exploration through reading, discussions with exploration team members, periodic rotation on an exploration team and time in the field with geologists</li>\n</ul>\n<p>Qualifications</p>\n<ul>\n<li>5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer or in a similar role</li>\n<li>Strong scripting and programming skills (Python, Go, Java or JavaScript/ Node.js )</li>\n<li>Experience with IaC tools like Terraform and container orchestration tools like Kubernetes and Docker</li>\n<li>Experience with cloud platforms such as AWS</li>\n<li>Experience operating or administering JupyterHub in a multi-user environment</li>\n<li>Understanding of MLOps workflows, including model training, deployment, and related tooling</li>\n<li>Excellent communication &amp; collaboration skills and a continuous improvement mindset</li>\n<li>Proven ability to troubleshoot complex issues and implement effective solutions</li>\n<li>Proven ability to thrive in dynamic and evolving environments, effectively navigating uncertainty and incomplete information.</li>\n<li>Proven ability to grow expertise, influence &amp; educate others</li>\n<li>Comfortable making informed decisions with limited data, adapting quickly to new circumstances, and maintaining focus on strategic objectives while driving clarity for the team.</li>\n<li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. 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