AI training contract
Materials Scientist / Engineer
Engineering · Advertised USD 80-130 an hour. · 1 opening
Materials Scientist / Engineer is contract work for micro1, reviewing and correcting what AI models produce in engineering. 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. No credential is stated on this listing beyond experience in the field.
What it pays. micro1 advertises USD 80 to USD 130 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
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.
Skills named: materials science expertise, materials characterization, technical literature review, scientific data interpretation, clear written and verbal communication, remote collaboration, annotating technical datasets, scenario and case study development, quality assurance in scientific deliverables, analytical skills.
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
Job Description Role Title: Materials Science Expert Role Type: Contractor Location: Remote micro1 is selecting Materials Science Experts to contribute to a customer's project focused on advancing the capabilities of AI technologies in materials engineering. 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. This is an opportunity to impact the future of engineering by ensuring that AI systems can accurately interpret, solve, and explain complex materials challenges spanning selection, failure analysis, testing, and process development. Experts with a passion for precision, technical detail, and clear written and verbal communication will find this engagement both rewarding and influential. Scope of Work Evaluate and solve advanced materials science and engineering problems spanning materials selection, failure analysis, testing, and process development. Review and assess AI-generated technical responses for technical correctness, accuracy, and engineering quality. Apply practical engineering judgment to real-world materials selection and failure scenarios and theoretical questions. Analyze and troubleshoot materials issues using industry-standard techniques such as microstructural analysis, fractography, mechanical testing (tensile, fatigue, hardness), and thermodynamic/kinetic modeling. Contribute domain expertise to inform model improvements and refine AI reasoning in materials science and engineering. Document feedback and provide clear written and verbal explanations to enhance AI learning and performance. Collaborate remotely with a distributed team of experts and project participants. Preferred Qualifications Bachelor's degree and above in Materials Science & Engineering, Metallurgy, or ME/ChemE with a materials specialization. At least 3 years of hands-on experience in materials selection, failure analysis, testing, or process development. Expert knowledge of material classes (metals, polymers, ceramics, composites), microstructure-property relationships, and degradation/failure mechanisms. Proven ability to analyze root-cause failures using fractography, metallography, and mechanical/thermal test data. Familiarity with relevant standards bodies (ASTM, ASM, ISO materials standards) and process qualification requirements. Professional English proficiency with exceptional written and verbal communication skills. Experience with materials characterization equipment (SEM, XRD, TEM, DSC/TGA) or process development in a manufacturing environment is a plus. Strongly preferred — evidence of problem-authoring rigor, such as: service on an olympiad problem committee; a textbook problem-set or solutions-manual author credit; an item-writer role on an NCEES or academic qualifying-exam committee; service on an ASTM, ASM, or ISO materials standards committee; a top placement or team-lead role in the TMS Materials Bowl, ASM International undergraduate design competition, or an MRS student award; a best-paper award at TMS Annual Meeting, MS&T, or MRS, or a publication in Acta Materialia / Nature Materials; an Acta Materialia Silver Medal; or an early-career fellowship/grant (NSF CAREER, DOE Early Career, Sloan Fellowship) or TMS Young Leader / MRS Outstanding Young Investigator recognition. Compensation Structure Compensation 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 We typically fill roles within 48 hours and 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.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.