Mechanical Engineer, AI Expert (Full-Time, US)

Weekday AI

8h • $60 - $90 • Remote

About The Position

This full-time, fully remote W-2 role is for an experienced Mechanical Engineer contributing to the development and evaluation of next-generation AI models. The engineer will work with research and program management teams at a leading AI lab to improve how AI models understand, reason about, and solve practical mechanical engineering problems. Work includes developing high-quality training datasets, technical benchmarks, reference solutions, and evaluation standards for measuring the accuracy and reliability of AI-generated engineering outputs.

The position is intended for practicing engineering professionals with hands-on industry experience and ownership of real-world designs, analyses, and mechanical systems. The initial engagement is 2–3 months, with a strong possibility of extension. The work commitment is 40 hours per week. The role is remote within the United States, and client-issued accounts and equipment will be provided for collaboration with internal research teams using their tools and workflows.

Requirements

• Bachelor's degree or higher in Mechanical Engineering or a closely related engineering discipline.
• At least 5 years of hands-on professional mechanical engineering experience in an industry environment.
• Relevant experience in one or more of the following: 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, such as component or system design, FEA or CFD analysis, preparation and release of engineering drawings and specifications, design reviews, product testing, validation, and production.
• Proficiency with commonly used engineering tools and software, including SolidWorks, CATIA, Siemens NX, Creo, AutoCAD, ANSYS, Abaqus, or MATLAB.
• Familiarity with relevant engineering codes and standards, including ASME, ASTM, ISO, and GD&T as per ASME Y14.5.
• Clear career progression toward senior or lead engineering responsibilities.
• Practical experience using large language models (LLMs) in a professional environment and 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.

Nice To Haves

• Professional Engineer (PE) license.
• Experience leading mechanical engineering projects or managing design, analysis, testing, and validation activities.
• Experience working with multidisciplinary engineering and research teams.
• Familiarity with AI model evaluation, technical benchmark development, or engineering assessment frameworks.

Responsibilities

• Evaluate mechanical engineering tasks and AI-generated solutions, identifying incorrect assumptions, missing constraints, unit and tolerance errors, unsafe design decisions, and technically unsound recommendations.
• Develop clear technical instructions, detailed reference solutions, and engineering tasks reflecting real-world industry practices and problem-solving requirements.
• Build challenging engineering tasks and evaluation datasets across mechanical design, thermal and fluid systems, structural and stress analysis, manufacturing engineering, and control systems.
• Assess whether AI-generated solutions meet practical engineering requirements, design constraints, safety considerations, and applicable industry standards.
• Provide precise, structured written feedback to improve the accuracy, consistency, and practical relevance of AI model outputs.
• Collaborate with AI researchers and subject-matter experts from adjacent disciplines to establish consistent evaluation standards and translate practical engineering judgment into measurable criteria.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior