Materials Engineer | Remote

Crossing Hurdles; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Crossing Hurdles is seeking a technically skilled reviewer to assess and annotate materials science content, and to craft clear explanations for diverse audiences. You will validate AI-generated materials data and analyses, and develop domain-specific cases for AI training.

This role requires staying current with literature, evaluating experimental datasets, and communicating findings effectively in writing and verbally.

Qualifications

• Experience in reviewing and annotating technical materials datasets, literature and documentation.
• Ability to formulate clear explanations of advanced materials concepts for mixed audiences.
• Proven ability to review scientific literature and interpret experimental data.
• Familiarity with digital tools for remote collaboration and content review.
• Deliverables must meet established scientific standards and project specifications.

Responsibilities

• Review, assess, and annotate materials datasets, literature, and documentation for accuracy.
• Formulate explanations of advanced materials concepts for non-expert and expert audiences.
• Evaluate AI-generated content related to materials engineering and metallurgy.
• Develop and validate domain-specific scenarios or case studies for AI training.
• Collaborate with interdisciplinary teams to define data requirements and quality benchmarks.

Skills

Materials characterization

Materials processing

Materials testing

Communication of complex concepts

Education

MS or PhD in Materials Science & Engineering or related field

Tools

Digital collaboration tools

Job description

• Review, assess, and annotate technical materials datasets, literature, and documentation for accuracy and clarity.
• Formulate comprehensive explanations of advanced materials science concepts tailored to non-expert and expert audiences.
• Evaluate and provide feedback on AI-generated content related to materials engineering, metallurgy, and related disciplines.
• Develop and validate domain-specific scenarios, case studies, or problem sets for AI training purposes.
• Collaborate with interdisciplinary project teams to define and refine data requirements and quality benchmarks.
• Ensure that all deliverables meet established scientific standards and project specifications.

Requirements

• Have strong relevant experience in materials characterization, processing, selection, or testing across various applications.
• MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a closely related field with a focus on materials specialization.
• Proven ability to communicate complex concepts in both written and verbal formats with clarity and precision.
• Proficiency in reviewing scientific literature and interpreting experimental data.
• Familiarity with digital tools for remote collaboration and technical content review.