Engineering Expert (Olympiad-Esque Problem Writers, & Affiliates)

Engineering Expert (Olympiad-Esque Problem Writers, & Affiliates)

1.Role Overview

Mercor is 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, fully remote 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 (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

5. Compensation & Contract Terms

• $60–80 per hour, depending on experience and demonstrated performance
• Open to contributors worldwide (English proficiency required)
• Independent contractor arrangement
• Weekly payments via Stripe Connect

6. Application Process

1. Submit your resume or CV highlighting your engineering background and relevant accomplishments.
2. Participate in a short interview (20–30 minutes).
3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching.
4. Selected applicants will receive follow-up steps within a few days.

7. About Mercor

Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation.

We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

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