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Mechanical Engineering Professor

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano14 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

micro1 is seeking experienced Mechanical Engineering Professors, adjuncts, and academic instructors to contribute to a high-impact AI research project. You will leverage your deep domain expertise to help train next-generation AI systems by creating high-quality, graduate-level educational content.

Key responsibilities

  • Design and author rigorous multiple-choice assessment questions tailored for graduate or postgraduate mechanical engineering students.
  • Translate complex concepts from fields such as Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids into challenging, exam-quality materials.
  • Develop detailed explanations and rationales for answer choices to ensure academic clarity and precision.
  • Review and validate the technical accuracy and pedagogical quality of AI-generated mechanical engineering content.
  • Collaborate asynchronously with other subject matter experts to refine and improve the overall quality of project deliverables.

Requirements

  • PhD or MS in Mechanical Engineering with current or previous university-level teaching experience in core mechanical engineering disciplines.
  • Proven experience in authoring, grading, or reviewing graduate-level exams, problem sets, or advanced coursework.
  • Strong ability to convert intricate mechanical engineering principles into clear, exam-ready written content.
  • Exceptional written communication skills with a meticulous attention to detail and a commitment to technical accuracy.
  • Self-motivated and organized professional capable of working independently in a remote, asynchronous environment.

What we offer

  • The opportunity to shape the development of advanced AI systems using your academic expertise.
  • A flexible, fully remote working environment that allows for asynchronous collaboration.
  • Engagement in a high-impact project that bridges the gap between traditional engineering education and modern AI research.

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