We are looking for Materials Scientist / Engineer candidates for a project delivered through micro1.
What you'll do
- 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.
What you need
- No prior experience in AI is required, your domain knowledge is what matters.
- Experts with a passion for precision, technical detail, and clear written and verbal communication will find this engagement both rewarding and influential.
Nice to have
- 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.
Expertise
materials selectionfailure analysistestingprocess developmentAI assessmentengineering judgmentmicrostructural analysisfractographymechanical testingthermodynamic/kinetic modelingdomain expertisematerials characterization equipment
RequiredAlso useful
Also listed: remote collaboration, analytical skills, written communication.
Who you work with
Project and contracting process: micro1. Applications continue on the provider's website.

