Materials Engineer

Crossing Hurdles; United States; Remote; EUR 95,000 - 155,000; Part time

Job summary

Crossing Hurdles is seeking a Materials Expert for remote collaboration. You will review data sets, annotate literature, and ensure scientific accuracy across materials datasets and documentation.

Responsibilities include explaining advanced materials concepts to varied audiences and evaluating AI-generated content in metallurgy and related disciplines. Candidates should hold an MS or PhD in a materials field and possess strong literature review skills.

Qualifications

• Experience reviewing scientific literature and interpreting experimental data.
• Ability to communicate complex concepts clearly in writing and speech.
• Proficiency with digital tools for remote collaboration and content review.
• Demonstrated track record in materials characterization and testing.

Responsibilities

• Review, assess, and annotate technical materials datasets, literature, and documentation for accuracy and clarity.
• Formulate explanations of advanced materials science concepts for diverse audiences.
• Evaluate AI-generated content related to materials engineering and metallurgy.
• Develop and validate domain-specific scenarios for AI training in materials science.
• Collaborate with interdisciplinary teams to define data requirements and quality benchmarks.
• Ensure deliverables meet scientific standards and project specifications.

Skills

Materials characterization

Materials processing

Materials selection

Materials testing

Scientific communication

Education

MS in Materials Science & Engineering

PhD in Materials Science & Engineering

Job description

Position

Materials Expert

Type

Contract

Compensation

$80 - $130/hour

Location

Remote

Commitment

10-40 hrs/week

Role Responsibilities

• 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.