EVB is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. They are seeking Mechanical Engineering Professors to engage in a high-impact AI research project, applying their expertise to train next-generation AI systems.
Responsibilities:
- Design and author rigorous single-option (multiple-choice) assessment questions in your specialization within mechanical engineering, calibrated for graduate or postgraduate complexity
- Translate advanced concepts from Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids into challenging exam-quality content
- Develop detailed explanations and rationales for answer choices, maintaining the clarity and precision expected in academic settings
- Review and validate the technical accuracy and pedagogical quality of AI-generated mechanical engineering materials
- Collaborate asynchronously with other subject matter experts and project coordinators to refine and improve content quality
- Conduct quality checks, revisions, and enhancements on contributed materials based on feedback and project standards
- Maintain thorough records of assignments and submissions using digital workflow tools provided for the engagement
Requirements:
- PhD or MS in Mechanical Engineering, with current or previous university-level teaching experience (professor, adjunct, lecturer, or TA) in one or more core areas: Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids
- Experience authoring, grading, or reviewing graduate-level exams, problem sets, or coursework
- Demonstrated ability to convert complex mechanical engineering principles into clear, exam-ready written content
- Background in assessment design, rubric development, or educational content creation
- Exceptional written and verbal communication skills; adept at articulating intricate concepts concisely and accurately
- Meticulous attention to detail and commitment to technical accuracy in all deliverables
- Self-motivated, organized, and comfortable working independently in a remote, asynchronous project environment; familiarity with collaborative digital platforms is a plus