{"schemaVersion":"jobsearcher.job.v1","id":"c0632998decf919a62d90708","url":"https://jobsearcher.com/jobs/c0632998decf919a62d90708","canonicalUrl":"https://jobsearcher.com/jobs/c0632998decf919a62d90708","title":"Remote Physics Expert (Postdoc / Junior professor)","description":"Physics Expert (Professor / Principal Investigator) – Contractor – Remote – Compensation: $80–$160 per hour\n\nRequired Skills\n\nPhysics Mastery\n\nExpert Judgment in Ambiguous Cases\n\nMeta-Level Reasoning\n\nResearch Leadership\n\nDefensible Written Articulation\n\nAbout micro1\nmicro1 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.\n\nOur 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.\n\nRole Title: Physics Expert (Professor / Principal Investigator)\n\nRole Type: Contractor\n\nLocation: Remote\n\nmicro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high‑level domain guidance as part of an impactful project for a customer. 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.\n\nScope of Work\n\nAdjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.\n\nCompare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.\n\nIdentify and articulate meta‑level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.\n\nExercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.\n\nDraft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.\n\nLeverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.\n\nClearly communicate when a question is unresolved within the field and delineate the pertinent considerations.\n\nPreferred Qualifications\n\nPhD in physics with demonstrated expertise and scholarly impact in your specified subfield.\n\nCurrent or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.\n\nOngoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.\n\n3–5 recent representative publications in your target subfield, with arXiv or DOI references.\n\nPrior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.\n\nProficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).\n\nExceptional written communication skills, with the ability to articulate nuanced and well‑reasoned judgments.\n\n#J-18808-Ljbffr","company":"Micro","rawCompany":"micro1","city":"Orem","state":"UT","isRemote":true,"isActive":true,"createdAt":"2026-07-27T03:23:03.298Z","occupations":[{"code":"19-2012.00","title":"Physicists","slug":"physicists"},{"code":"25-1054.00","title":"Physics Teachers, Postsecondary","slug":"physics-teachers-postsecondary"},{"code":"19-2099.00","title":"Physical Scientists, All Other","slug":"physical-scientists-all-other"}],"industries":[{"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"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Physics Expert (Postdoc / Junior professor)","description":"Physics Expert (Professor / Principal Investigator) – Contractor – Remote – Compensation: $80–$160 per hour\n\nRequired Skills\n\nPhysics Mastery\n\nExpert Judgment in Ambiguous Cases\n\nMeta-Level Reasoning\n\nResearch Leadership\n\nDefensible Written Articulation\n\nAbout micro1\nmicro1 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.\n\nOur 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.\n\nRole Title: Physics Expert (Professor / Principal Investigator)\n\nRole Type: Contractor\n\nLocation: Remote\n\nmicro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high‑level domain guidance as part of an impactful project for a customer. 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.\n\nScope of Work\n\nAdjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.\n\nCompare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.\n\nIdentify and articulate meta‑level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.\n\nExercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.\n\nDraft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.\n\nLeverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.\n\nClearly communicate when a question is unresolved within the field and delineate the pertinent considerations.\n\nPreferred Qualifications\n\nPhD in physics with demonstrated expertise and scholarly impact in your specified subfield.\n\nCurrent or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.\n\nOngoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.\n\n3–5 recent representative publications in your target subfield, with arXiv or DOI references.\n\nPrior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.\n\nProficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).\n\nExceptional written communication skills, with the ability to articulate nuanced and well‑reasoned judgments.\n\n#J-18808-Ljbffr","datePosted":"2026-07-27T03:23:03.298Z","dateModified":"2026-07-27T03:23:03.298Z","hiringOrganization":{"@type":"Organization","name":"Micro","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orem","addressRegion":"UT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c0632998decf919a62d90708"},"url":"https://jobsearcher.com/jobs/c0632998decf919a62d90708"}}