{"schemaVersion":"jobsearcher.job.v1","id":"76208664ee9db0658d62d195","url":"https://jobsearcher.com/jobs/76208664ee9db0658d62d195","canonicalUrl":"https://jobsearcher.com/jobs/76208664ee9db0658d62d195","title":"Remote Materials Scientist / Engineer","description":"Materials Scientist / Engineer$80 - $130/hour payRequired Skillsmaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsAbout micro1micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.\r\nRole Title: Materials Scientist / EngineerRole Type: ContractorLocation: Remotemicro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of Work\r\nAnalyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.\r\nConduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.\r\nAnnotate and structure technical datasets with precise, detailed commentary and context to support AI model training.\r\nDevelop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.\r\nProvide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.\r\nReview and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.\r\nCollaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.Preferred Qualifications\r\nMS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.\r\nDemonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).\r\nStrong analytical skills and experience interpreting complex scientific data.\r\nSubstantial experience conducting technical literature reviews and summarizing key findings.\r\nProven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.\r\nExperience with quality assurance and review of scientific documents or datasets.\r\nFamiliarity with remote collaboration tools and digital knowledge-sharing environments.Compensation Structure\r\nCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & Availability\r\nWe typically fill roles within48 hoursand are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.","company":"Micro","rawCompany":"micro1","city":"Bothell","state":"WA","isRemote":true,"isActive":false,"createdAt":"2026-08-09T02:01:46.592Z","occupations":[{"code":"19-2032.00","title":"Materials Scientists","slug":"materials-scientists"},{"code":"17-2131.00","title":"Materials Engineers","slug":"materials-engineers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Materials Scientist / Engineer","description":"Materials Scientist / Engineer$80 - $130/hour payRequired Skillsmaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsAbout micro1micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.\r\nRole Title: Materials Scientist / EngineerRole Type: ContractorLocation: Remotemicro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of Work\r\nAnalyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.\r\nConduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.\r\nAnnotate and structure technical datasets with precise, detailed commentary and context to support AI model training.\r\nDevelop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.\r\nProvide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.\r\nReview and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.\r\nCollaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.Preferred Qualifications\r\nMS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.\r\nDemonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).\r\nStrong analytical skills and experience interpreting complex scientific data.\r\nSubstantial experience conducting technical literature reviews and summarizing key findings.\r\nProven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.\r\nExperience with quality assurance and review of scientific documents or datasets.\r\nFamiliarity with remote collaboration tools and digital knowledge-sharing environments.Compensation Structure\r\nCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.Start Timeline & Availability\r\nWe typically fill roles within48 hoursand are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.","datePosted":"2026-08-09T02:01:46.592Z","dateModified":"2026-08-09T02:01:46.592Z","hiringOrganization":{"@type":"Organization","name":"Micro","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bothell","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"76208664ee9db0658d62d195"},"url":"https://jobsearcher.com/jobs/76208664ee9db0658d62d195"}}