Mechanical Engineering Expert - Ai Research

Role Overview

Collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework).

The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—specifically those that cause the AI to fail or demonstrate reasoning limits—while supporting the improvement and training of advanced AI systems.

This is a short-term, high-impact opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance.

2. 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

6. Application Process

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.