Electrical/Aerospace Engineering Expert - AI Research

Full Description

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.

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.

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

Application Process

• Submit your resume or CV highlighting your engineering background and relevant accomplishments.

• Participate in a short interview (20–30 minutes).

• Complete a brief form outlining your experience with problem design, engineering challenges, or teaching.

• Selected applicants will receive follow-up steps within a few days.

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.