Mechanical Engineering (AI Trainer)

MissionHires; United States; Remote; CAD 78,000 - 243,000; Full time

Benefits offered by this job

Fully remote contract

Flexible scheduling

Job summary

MissionHires seeks a remotely contracted mechanical engineer to design realistic AI evaluation tasks and assess outputs against engineering standards. You will create scenarios, supporting files, and rubrics while collaborating across CAD and analysis tools.

Ideal candidates have 2+ years of hands-on experience, an in-progress or advanced mechanical engineering degree, and the ability to work independently with flexible scheduling.

Qualifications

• 2+ years of professional mechanical engineering experience preferred.
• Hands-on individual-contributor experience, not purely management.
• Depth in at least one area: design, structures, thermal, dynamics or manufacturing.
• Strong fundamentals in mechanics, thermodynamics, heat transfer and fluids.
• Fluency with CAD tools and MATLAB or Python for analysis.

Responsibilities

• Design challenging mechanical tasks and realistic scenarios for AI evaluation.
• Run tasks through frontier AI models and compare outputs to standards.
• Write closed-ended problems with rubrics and acceptance criteria.
• Identify and document errors like unit or boundary-condition issues.

Skills

CAD software

FEM/CFD tools

Python for analysis

Attention to detail

Independent work

Education

In-progress Bachelor's degree in mechanical engineering

Related field acceptable

Tools

SolidWorks

Fusion 360

Onshape

Creo

NX

CATIA

Inventor

Job description

When AI gets the details wrong in your field, real people pay for it. The people who know the work best have to be the ones training these models. You're not being replaced by AI. You're making sure it's used accurately and safely.

How You'll Contribute

• Design challenging, realistic mechanical engineering tasks based on professional practice, including scenarios, colleague-style prompts, and self-authored supporting files such as drawings, CAD models, load cases, material data, test data, and specifications.
• Run tasks through frontier AI models and evaluate calculations, design reviews, analyses, and reports against professional engineering standards.
• Compare model outputs generated from identical prompts and files, determine which output is stronger, and document specific strengths and shortcomings.
• Write closed-ended engineering problems with worked solutions, acceptance criteria, and detailed grading rubrics.
• Identify and document concrete errors, including incorrect boundary conditions, unit errors, missed interferences, non-closing tolerance stacks, unsafe factors of safety, fabricated or ignored source files, and misinterpretation of the brief.
• Contribute expertise across mechanical design, analysis, manufacturing, and testing, and review or refine tasks created by other engineers.
• Build professional task scenarios ranging from compact file sets to larger multi-day engineering cases.
• Incorporate expert feedback and revise task proposals, files, rubrics, and evaluations as needed.

What Makes You a Great Fit

• 2+ years of professional mechanical engineering experience preferred; candidates with less experience may be considered when they have substantial practical hands-on work.
• In-progress Bachelor's degree or higher in mechanical engineering or a related field.
• Hands-on individual-contributor experience in mechanical engineering, currently or recently, rather than solely management experience.
• Depth in at least one area: mechanical design and CAD; structures and materials; thermal and fluids; dynamics and controls; or manufacturing.
• Strong mechanical engineering fundamentals, including mechanics of materials, dynamics, thermodynamics, heat transfer, fluid mechanics, and manufacturing processes.
• Fluency with tools relevant to the specialty, such as CAD software including SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA, or Inventor; FEA or CFD tools; or MATLAB or Python for engineering analysis.
• Ability to create realistic scenarios from real-world workflows and assess whether AI systems can complete the work correctly.
• Full professional or native-level written and spoken English, with the ability to clearly explain complex technical reasoning and why an answer is incorrect.
• Meticulous attention to detail, including the ability to verify assumptions, numbers, source materials, and engineering conclusions.
• Comfort working independently with ambiguity, incomplete instructions, and unfamiliar file sets.
• Ability to interpret feedback critically and apply appropriate revisions without extensive supervision.
• General familiarity with AI and LLM tools such as Claude or ChatGPT, including the judgment to distinguish well-reasoned work from plausible but incorrect output.
• Availability of at least 10 hours per week, with consistent availability preferred.
• Based in the United States, Canada, or the United Kingdom.
• PE licensure is a plus but not required.
• Pay of $40-$125 USD per hour, paid via PayPal on a regular cadence.
• Fully remote contract work with flexible scheduling.
• Minimum commitment of 10 hours per week, with no weekly maximum and full-time hours available.
• Multi-day task timers that allow work to be spread across several days.
• Access to Claude and ChatGPT through the project; no personal subscription required.
• Paid work for completed accepted stages of the project process, including onboarding and training work.
• Structured onboarding, platform instructions, dedicated Slack support, office hours, and written expert feedback.
• Opportunity to help improve frontier AI systems using real mechanical engineering expertise.