Mechanical Engineering Professor for AI Training [Remote]

Join a transformative AI research initiative as a Mechanical Engineering Professor, where your expertise will directly influence the training of next-generation AI systems. This role offers a unique opportunity to apply your knowledge in mechanical engineering to shape how AI models learn and perform, without requiring prior AI experience. Key Responsibilities

• Design and author rigorous single-option (multiple-choice) assessment questions in mechanical engineering, tailored 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, ensuring clarity and precision in academic standards.
• 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 enhance 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 provided digital workflow tools.

• PhD or MS in Mechanical Engineering, with current or previous university-level teaching experience (professor, adjunct, lecturer, or TA) in core areas such as Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids.
• Experience in authoring, grading, or reviewing graduate-level exams, problem sets, or coursework.
• Proven 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, with the ability to articulate 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.

This is a contractor position with remote work flexibility. Experts are expected to submit a minimum number of tasks per week, with compensation based on output per task that meets project specifications.

Compensation ranges from $60 to $130 per hour, depending on the complexity of tasks and the expert''s experience.

Experts must be able to start immediately upon selection, with roles typically filled within 48 hours.