Mechanical Engineering Professor for AI Model Training

SaidGig

New York (NY)

Remote

USD 83,000 - 179,000

Full time

5 days ago
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Job summary

SaidGig is seeking a remote contractor to craft graduate- and postgraduate-level assessment content in mechanical engineering, focusing on solid/structural mechanics, dynamics, vibration and control, and thermal-fluids.

You will develop exam-quality MCQs, create detailed explanations, and review AI-generated materials for technical accuracy, collaborating asynchronously with SMEs and coordinators while maintaining thorough records.

Qualifications

  • PhD or MS in Mechanical Engineering with university-level teaching experience.
  • Expertise in Solid/Structural Mechanics, Dynamics, Vibration and Control, or Thermal-Fluids.
  • Experience authoring or reviewing graduate-level exams, problem sets, or coursework.

Responsibilities

  • Write rigorous single-option, multiple-choice assessment questions within your mechanical engineering specialization.
  • Turn advanced concepts into exam-quality content across core engineering areas.
  • Develop detailed answer explanations and rationales with academic clarity and precision.
  • Review AI-generated mechanical engineering materials for technical accuracy and pedagogical quality.
  • Collaborate asynchronously with subject-matter experts and project coordinators to refine content.
  • Complete quality checks, revisions, and enhancements based on feedback and project standards.
  • Maintain complete assignment and submission records using the provided digital workflow tools.

Skills

Solid and Structural Mechanics
Dynamics, Vibration and Control
Thermal-Fluids
Technical writing

Education

PhD or MS in Mechanical Engineering
University-level teaching experience

Job description

Role Overview

Apply advanced mechanical engineering expertise to create and evaluate graduate- and postgraduate-level assessment content that helps improve AI systems. This remote contractor role focuses on rigorous, technically accurate questions and feedback across Solid and Structural Mechanics, Dynamics, Vibration and Control, and Thermal-Fluids. Prior AI experience is not required.

Key Responsibilities
  • Write rigorous single-option, multiple-choice assessment questions within your mechanical engineering specialization.
  • Turn advanced concepts in Solid and Structural Mechanics, Dynamics, Vibration and Control, or Thermal-Fluids into challenging, exam-quality content.
  • Develop detailed answer explanations and rationales with academic clarity and precision.
  • Review AI-generated mechanical engineering materials for technical accuracy and pedagogical quality.
  • Collaborate asynchronously with subject-matter experts and project coordinators to refine content.
  • Complete quality checks, revisions, and enhancements based on feedback and project standards.
  • Maintain complete assignment and submission records using the provided digital workflow tools.
Qualifications
  • PhD or MS in Mechanical Engineering, with current or previous university-level teaching experience as a professor, adjunct, lecturer, or teaching assistant.
  • Expertise in one or more of the following areas: Solid and Structural Mechanics, Dynamics, Vibration and Control, or Thermal-Fluids.
  • Experience authoring, grading, or reviewing graduate-level exams, problem sets, or coursework.
  • Ability to translate complex engineering principles into clear, exam-ready written content.
  • Experience with assessment design, rubric development, or educational content creation.
  • Strong technical writing, written and verbal communication, attention to detail, and commitment to technical accuracy.
  • Self-motivated, organized, and comfortable working independently in a remote, asynchronous environment. Familiarity with collaborative digital platforms is a plus.
Work Terms

Remote independent-contractor engagement. Work is completed asynchronously using digital workflow tools. Minimum weekly task-submission requirements apply. Selected experts should be prepared to begin promptly.

Compensation

Advertised compensation is $60 to $130 per hour. Payment is output-based and issued per task that meets project specifications. Time required per task varies based on experience and workflow.

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