Mechanical Engineer, AI Expert

Weekday (YC W21)

. Evaluate mechanical engineering tasks and AI-generated solutions for incorrect assumptions, missing constraints, unit and tolerance errors, unsafe design decisions, and technically unsound recommendations .

Posted 11/12/2026full-timeRemote • United StatesMid-LevelSenior💰 $60 - $90 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Mechanical Engineering with a focus on evaluating AI-generated solutions, developing technical instructions, and validating designs against industry standards. Proficient in using engineering software tools and translating practical engineering judgment into measurable evaluation criteria.

Highest-signal resume keywords

Mechanical Engineering Degree5+ Years Mechanical Engineering ExperienceProficiency in SolidWorksExperience with FEA or CFD AnalysisFamiliarity with ASME and ISO Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mechanical Product DesignThermal EngineeringFluid SystemsStructural EngineeringStress AnalysisManufacturing EngineeringControl SystemsEngineering DrawingsProduct TestingValidation

Soft Skills

Excellent Written CommunicationStructured Technical Feedback

Tools & Technologies

SolidWorksCATIASiemens NXCreoAutoCADANSYSAbaqusMATLAB

Industry Keywords

HVAC SystemsIndustrial SystemsAutomotive EngineeringAerospace EngineeringEnergy SystemsRoboticsMedical DevicesGD&T

About the role

Key responsibilities & impact

Evaluate mechanical engineering tasks and AI-generated solutions for incorrect assumptions, missing constraints, unit and tolerance errors, unsafe design decisions, and technically unsound recommendations
Develop technical instructions and detailed reference solutions
Design engineering tasks reflecting real-world industry practices and problem-solving requirements
Build engineering benchmarks and evaluation datasets across mechanical design, thermal and fluid systems, structural and stress analysis, manufacturing engineering, and control systems
Validate AI-generated solutions against engineering requirements, design constraints, safety considerations, and applicable industry standards
Provide structured written feedback to improve AI model accuracy, consistency, and practical relevance
Collaborate with AI researchers and adjacent subject-matter experts to establish evaluation standards
Translate practical engineering judgment into measurable evaluation criteria

Requirements

What you’ll need

Bachelor's degree or higher in Mechanical Engineering or a closely related engineering discipline
Minimum of 5 years of hands-on professional mechanical engineering experience in an industry environment
Relevant experience in one or more of: mechanical product design and development; thermal engineering and fluid systems; HVAC and industrial systems; structural engineering and stress analysis; manufacturing and production engineering; automotive and aerospace engineering; energy systems; robotics and medical devices
Demonstrated ownership of real-world engineering projects, including component or system design, FEA or CFD analysis, engineering drawings and specifications, design reviews, product testing, validation, and production
Proficiency with SolidWorks, CATIA, Siemens NX, Creo, AutoCAD, ANSYS, Abaqus, or MATLAB
Familiarity with ASME, ASTM, ISO, and GD&T according to ASME Y14.5
Clear career progression toward senior or lead engineering responsibilities
Practical professional experience using large language models (LLMs)
Ability to distinguish technically sound AI-generated responses from plausible but incorrect solutions
Excellent written communication skills and ability to provide clear, detailed, well-structured technical feedback
Ability to commit reliably to 40 hours per week for the initial engagement period

Benefits

Comp & perks

Client-issued accounts and equipment provided
Strong possibility of extension based on performance and project requirements
Full-time W-2 employment