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Materials Scientist Engineer

RemoteJobsOne


Job Location:

Toronto - Canada

Hourly Salary: $ 80 - 130
Posted: 24 September 2026 (16 hours ago)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in Canada.

Pay: $80$130/hr

Job Description Role Title: Materials Science Expert

Role Type: Contractor

Location: Remote

the company is selecting Materials Science Experts to contribute to a customers project focused on advancing the capabilities of AI technologies in materials this role youll 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

  1. Evaluate and solve advanced materials science and engineering problems spanning materials selection failure analysis testing and process development.
  2. Review and assess AI-generated technical responses for technical correctness accuracy and engineering quality.
  3. Apply practical engineering judgment to real-world materials selection and failure scenarios and theoretical questions.
  4. Analyze and troubleshoot materials issues using industry-standard techniques such as microstructural analysis fractography mechanical testing (tensile fatigue hardness) and thermodynamic/kinetic modeling.
  5. Contribute domain expertise to inform model improvements and refine AI reasoning in materials science and engineering.
  6. Document feedback and provide clear written and verbal explanations to enhance AI learning and performance.
  7. Collaborate remotely with a distributed team of experts and project participants.

Preferred Qualifications

  1. Bachelors degree and above in Materials Science & Engineering Metallurgy or ME/ChemE with a materials specialization.
  2. At least 3 years of hands-on experience in materials selection failure analysis testing or process development.
  3. Expert knowledge of material classes (metals polymers ceramics composites) microstructure-property relationships and degradation/failure mechanisms.
  4. Proven ability to analyze root-cause failures using fractography metallography and mechanical/thermal test data.
  5. Familiarity with relevant standards bodies (ASTM ASM ISO materials standards) and process qualification requirements.
  6. Professional English proficiency with exceptional written and verbal communication skills.
  7. Experience with materials characterization equipment (SEM XRD TEM DSC/TGA) or process development in a manufacturing environment is a plus.
  8. 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 experts 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 2448 hours of completing onboarding.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.