Remote Engineering Technical Problem Designer

YO AI Labs; California; Remote; USD 60,000 - 90,000; Part time

Job summary

YO AI Labs is seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project advancing next-generation AI systems in engineering. You will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance.

Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate

Qualifications

• MS or PhD in an engineering discipline or substantial industry experience.
• 5+ years of hands-on technical experience in a relevant engineering field.
• Experience creating technically rigorous problems through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs.
• Experience publishing patents, technical awards, or committee participation.
• Professional-level English proficiency with excellent written and verbal communication.
• Familiarity with AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment.
• Ability to work independently and remotely while delivering high-quality content on schedule.

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, engineering accuracy, completeness, and practical relevance.
• Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts.
• Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions.
• Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment.
• Provide structured written feedback and clear explanations to improve AI-generated technical reasoning.
• Collaborate remotely with technical experts and project participants to maintain high-quality deliverables.
• Document technical insights, identified weaknesses, and recommendations to support continuous improvement of 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

Tools

CAD software

CFD/FEA platforms

EDA tools

Simulation software

Laboratory equipment

Job description

Job Title: Technical Problem Author – Engineering

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance.

Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most.

Scope of Work

• Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines.
• Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance.
• Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts.
• Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions.
• Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment.
• Provide structured written feedback and clear explanations to improve AI-generated technical reasoning.
• Collaborate remotely with technical experts and project participants to maintain high-quality deliverables.
• Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.

Required Skills

• Mechanical Engineering
• Aerodynamics
• AutoCAD
• Technical Problem Authoring
• Engineering Analysis
• Technical Documentation
• Analytical Reasoning
• Technical Review & Validation
• Written and Verbal Communication

Preferred Qualifications

• Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience.
• At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles.
• Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs.
• Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise.
• Professional-level English proficiency with excellent written and verbal communication skills.
• Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty.
• Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.

Compensation Structure

Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow.

Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week.

Start Timeline & Availability

Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding.

If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.