Design and develop mechanical engineering challenges that reflect real-world industry and graduate-level practice. Your primary responsibility will be assessing AI-generated responses for technical accuracy, logical consistency, and adherence to engineering principles.
Using Python and associated scientific libraries—NumPy, SciPy, and Pandas—you'll verify analytical and numerical outcomes, ensuring solutions align with first-principles reasoning and established standards. You will also contribute to refining AI performance by identifying gaps in logic, assumptions, and methodology.
Requirements
- Hold a degree in Mechanical Engineering or a closely related discipline such as Thermodynamics, Fluid Mechanics, or Computational Mechanics
- Have at least three years of professional engineering experience
- Demonstrate advanced written English proficiency (C1/C2 level)
- Be proficient in Python for numerical computation and data validation
- Maintain a reliable internet connection
Preferred Background
- Professional credentials such as PE, CEng, or PMP
- Experience working on international or applied engineering projects
Work Arrangement
This is a freelance, project-based role with participation typically ranging from 10 to 20 hours per week during active cycles. Work is fully remote and open to candidates worldwide. Workload may vary depending on project phase and scope.
Compensation
Pay is project-dependent and based on complexity, duration, and expertise required. The estimated equivalent rate is $55 per hour. Specifics will be discussed per engagement.
