Remote Engineering Problem Architect

YO AI Labs; Palo Alto (CA); Remote; USD 80,000 - 120,000; Full time

Job summary

YO AI Labs seeks experienced Engineering Technical Problem Authors to create and evaluate challenging, real-world problems for next‑gen AI systems. You will assess AI-generated engineering responses for accuracy, rigor, and practical relevance, applying domain expertise to improve problem sets and model performance.

Your background in engineering enables you to guide problem design, assess calculations, and communicate technically sound solutions, while working remotely with a team of experts to

Qualifications

• Experience creating technically rigorous problems across engineering disciplines.
• Ability to review AI-generated engineering responses for accuracy and practicality.
• Strong technical judgment and written communication.

Responsibilities

• Author and evaluate advanced technical problems across Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design and related disciplines.
• Review AI-generated technical responses for correctness and completeness.
• Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios.
• Analyze ambiguities in problem statements and recommend clarifications.
• Develop technically rigorous problems that test analytical reasoning and design judgment.
• Provide structured written feedback to improve AI reasoning.
• Collaborate remotely with technical experts to ensure high-quality deliverables.
• Document insights, weaknesses, and recommendations to improve AI models and problem sets.

Skills

Mechanical Engineering

Aerodynamics

AutoCAD

Technical Problem Authoring

Engineering Analysis

Technical Documentation

Analytical Reasoning

Technical Review & Validation

Written and Verbal Communication

Education

MS or PhD in engineering

Job description

YO AI Labs seeks experienced Engineering Technical Problem Authors to create and evaluate challenging, real-world problems for next‑gen AI systems. You will assess AI-generated engineering responses for accuracy, rigor, and practical relevance, applying domain expertise to improve problem sets and model performance.

Your background in engineering enables you to guide problem design, assess calculations, and communicate technically sound solutions, while working remotely with a team of experts to