Materials Science and Engineering Expert

Create expert evaluation materials that test whether AI models can make sound decisions about materials in professional settings.

• Write realistic scenarios covering material selection through failure analysis.
• Provide reference answers and explain the structure-property reasoning behind each decision.
• Rate model recommendations for technical accuracy, practical feasibility, and suitability for real service conditions.
• Flag recommendations that sound plausible but would fail in service. Work may draw on metals, polymers, ceramics, or semiconductors.

• Pay: $100 to $130 per hour, paid weekly via Stripe.
• Hours: At least 10 hours per week; no stated maximum. Work is asynchronous with no fixed schedule, and hours can vary from week to week.
• Location: Fully remote and open to candidates in eligible countries.
• Language: English required.
• Requirements: A degree in materials science and engineering or a closely related field; at least 2 years of professional materials engineering or research and development experience; deep expertise in at least one materials class; and clear technical writing skills.
• Helpful background: An advanced degree or peer-reviewed publications; experience with SEM, XRD, or DSC; or experience in failure analysis or process qualification.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

OpenTrain is a free platform where people find AI training projects and apply. AI training uses examples and human reviews to test how models respond, and materials expertise helps assess whether technical recommendations are accurate and workable.