Mercor seeks an Engineering Problem Designer to create advanced engineering challenges for AI research labs. Responsibilities include designing problems, evaluating AI solutions, and providing detailed documentation. Requires an advanced engineering degree, experience with complex problem design, and LaTeX proficiency.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Engineering Problem Designer
Type: Contract
Compensation: $60–$80/hour
Location: Remote
Duration: 2 months
Commitment: 20–40 hours/week
Role 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.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
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Must-Have
- 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).
- Proficiency in creating and formatting technical documents using LaTeX.
- Deep understanding of core engineering principles and real-world systems.
- Ability to communicate step-by-step reasoning, assumptions, and derivations clearly.
- 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.
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- Rolling onboarding; start typically within 1–2 days after approval
- 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.
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
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