AI training contract
Physics Expert (Condensed Matter / Magnetic Materials)
Science & Research · USD 80-160 an hour. · 10 openings
Physics Expert (Condensed Matter / Magnetic Materials) is contract work for micro1, reviewing and correcting what AI models produce in science & research. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 80 to USD 160 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 10 openings on this role.
Skills named: Physics, magnetic structure factor calculations, propagation-vector analysis, magnetic space group identification (MAGNDATA), AFM/FM phase classification.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Physics Expert (Condensed Matter / Magnetic Materials) Role Type: Contractor Location: Remote micro1 is engaging Physics Experts (Condensed Matter / Magnetic Materials) to contribute to a leading-edge research opportunity focused on magnetic space groups, neutron scattering, BNS notation, and the physical signatures of magnetic order. 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 Analyze and interpret magnetic structure factors, utilizing propagation-vector methodologies and advanced symmetry concepts in condensed matter physics. Identify and classify magnetic phases (AFM, FM, and related types) using both theoretical and experimental data, including neutron diffraction results. Curate and validate magnetic space group assignments with reference to established datasets such as MAGNDATA, ensuring robust correlation with BNS notation conventions. Evaluate birefringence and magneto-optic Kerr effect (MOKE) signatures for selected materials, connecting optical phenomena to underlying magnetic structure. Preferred Qualifications Advanced academic background (PhD or equivalent research experience) in condensed matter physics, with a specialization in magnetism or related fields. Demonstrated proficiency in magnetic structure factor calculations, propagation-vector analysis, and symmetry-based phase identification. Direct experience classifying magnetic space groups, with hands-on familiarity with MAGNDATA and BNS notation. Strong knowledge of neutron scattering techniques for magnetic structure determination. Ability to connect experimental signatures (e.g., birefringence, MOKE) to underlying physical mechanisms.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.