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Why this grade This listing scored 46/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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
- 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.
Preferred Qualifications
- 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.
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
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Where this listing came from
- 04 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.