Mechanical Engineering Professor

• Job Title: Mechanical Engineering Professor
• Job Type: Contractor
• Location: Remote

About the hiring company:

Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.

The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively.

Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.

Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways.

Job Summary:

Engaging Mechanical Engineering Professors, adjuncts, and academic instructors to participate in a high-impact AI research project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

1. Design and author rigorous single-option (multiple-choice) assessment questions in your specialization within mechanical engineering, calibrated for graduate or postgraduate complexity.
2. Translate advanced concepts from Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids into challenging exam-quality content.
3. Develop detailed explanations and rationales for answer choices, maintaining the clarity and precision expected in academic settings.
4. Review and validate the technical accuracy and pedagogical quality of AI-generated mechanical engineering materials.
5. Collaborate asynchronously with other subject matter experts and project coordinators to refine and improve content quality.
6. Conduct quality checks, revisions, and enhancements on contributed materials based on feedback and project standards.
7. Maintain thorough records of assignments and submissions using digital workflow tools provided for the engagement.

Preferred Qualifications

1. 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.
2. Experience authoring, grading, or reviewing graduate-level exams, problem sets, or coursework.
3. Demonstrated ability to convert complex mechanical engineering principles into clear, exam-ready written content.
4. Background in assessment design, rubric development, or educational content creation.
5. Exceptional written and verbal communication skills; adept at articulating intricate concepts concisely and accurately.
6. Meticulous attention to detail and commitment to technical accuracy in all deliverables.
7. Self-motivated, organized, and comfortable working independently in a remote, asynchronous project environment; familiarity with collaborative digital platforms is a plus.

A very attractive and competitive package is offered.

Originally posted on Himalayas