{"schemaVersion":"jobsearcher.job.v1","id":"d54a07da5d8454a0fa41b08e","url":"https://jobsearcher.com/jobs/d54a07da5d8454a0fa41b08e","canonicalUrl":"https://jobsearcher.com/jobs/d54a07da5d8454a0fa41b08e","title":"STEM Data Specialist - Engineering","description":"About The JobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: STEM ExpertType: ContractCompensation: $20–$80/hourLocation: RemoteCommitment: 5+ hours/weekRole ResponsibilitiesEvaluate the accuracy and depth of AI-generated content in STEM fields to strengthen reasoning and rigor in model outputs.Review complex scientific data for alignment with domain principles and methodologies.Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.Work independently and asynchronously to meet deadlines while improving AI model performance.QualificationsMust-HaveGraduate-level training or extensive industry experience in Engineering, Physics, Mathematics, Chemistry, or Software Engineering/Data Science.Strong written English skills.Ability to verify results against a source.PreferredExperience with data and data visualization.Start DateApplications reviewed on a rolling basis.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.,","company":"Mercor","rawCompany":"mercor","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-21T07:28:47.893Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-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"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"STEM Data Specialist - Engineering","description":"About The JobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: STEM ExpertType: ContractCompensation: $20–$80/hourLocation: RemoteCommitment: 5+ hours/weekRole ResponsibilitiesEvaluate the accuracy and depth of AI-generated content in STEM fields to strengthen reasoning and rigor in model outputs.Review complex scientific data for alignment with domain principles and methodologies.Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.Work independently and asynchronously to meet deadlines while improving AI model performance.QualificationsMust-HaveGraduate-level training or extensive industry experience in Engineering, Physics, Mathematics, Chemistry, or Software Engineering/Data Science.Strong written English skills.Ability to verify results against a source.PreferredExperience with data and data visualization.Start DateApplications reviewed on a rolling basis.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.,","datePosted":"2026-09-21T07:28:47.893Z","dateModified":"2026-09-21T07:28:47.893Z","hiringOrganization":{"@type":"Organization","name":"Mercor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d54a07da5d8454a0fa41b08e"},"url":"https://jobsearcher.com/jobs/d54a07da5d8454a0fa41b08e"}}