Remote Materials Scientist & AI Data Reviewer (Contract)

Crossing Hurdles

La Réunion

Sur place

EUR 95 000 - 155 000

Temps partiel

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Materials characterization
Materials processing
Materials selection
Materials testing
Scientific communication

Formation

MS in Materials Science & Engineering
PhD in Materials Science & Engineering

Description du poste

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.

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