1. Key Responsibilities
• Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking.
• Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints.
• Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies.
• Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics.
• Maintain high standards of technical precision, rigor, and conceptual depth.
3. Required Qualifications
• Note: Applicants must be proficient in creating and formatting technical documents using LaTeX.
• You are a strong fit for this project if you have one or more of the following:
• Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.
• Experience designing or grading complex analytical or design-focused problems (university level or professional exams).
• Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints).
• Research or teaching experience involving applied problem formulation and quantitative modeling.
Other qualifications:
• Deep understanding of core engineering principles and real-world systems.
• Ability to communicate step-by-step reasoning, assumptions, and derivations clearly.
• Strong intuition for problem difficulty, structure, and conceptual progression.
• Detail-oriented verification of results and internal consistency.
4. More About the Opportunity
• Time commitment: Minimum 20 hours/week; up to 40 hours/week available
• Duration: Approximately 2 months, with strong potential for extension
• Rolling onboarding; start typically within 1–2 days after approval
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