Mechanical Engineering Professor

Visa Hunt; United States; Remote; USD 55,000 - 117,000; Part time

Job summary

Visa Hunt is seeking Mechanical Engineering professors and adjuncts to contribute to a high-impact AI research project. You will design rigorous graduate-level assessments, translate advanced ME concepts into exam-ready content, and provide detailed explanations and rationales.

Remote collaboration with SMEs is essential. Ideal candidates hold a PhD or MS in Mechanical Engineering with university teaching experience and strong communication skills.

Qualifications

• PhD or MS in Mechanical Engineering with university teaching experience.
• Experience authoring, grading, or reviewing graduate-level exams or coursework.
• Ability to translate complex ME concepts into exam-ready written content.
• Background in assessment design or rubric development.
• Exceptional written and verbal communication; concise and accurate.
• Meticulous attention to technical accuracy in deliverables.
• Self-motivated, organized, and capable of remote asynchronous work.

Responsibilities

• Design and author rigorous single-option (MC) assessment questions for graduate-level content.
• Translate complex topics into challenging exam-quality content.
• Develop explanations and rationales for answer choices.
• Review and validate AI-generated ME materials for technical accuracy.
• Collaborate asynchronously with SMEs and coordinators to refine content.
• Conduct quality checks and revisions per project standards.
• Maintain records of assignments and submissions using digital tools.

Skills

University teaching experience

Exam design and grading

Content conversion of ME concepts

Assessment design / rubric development

Strong written and verbal comms

Attention to detail

Remote/asynchronous collaboration

Education

PhD or MS in Mechanical Engineering

Job description

Role Title: Mechanical Engineering Professor

Role Type: Contractor

Location: Remote

micro1 is 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.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding.

Originally posted on Himalayas