Mechanical Engineer, AI Model Training
$40 - $125 per hourTemporary
Crucial Recruiting
Mechanical Engineer, AI Trainer (Remote, Flexible Hours)100% Remote | Work When You Want | Part-Time or Full-Time | Freelance Contract | $40 to $125 per hour
Fully remote. Work when you want. Get paid for what you already know. Applying takes just a few minutes with your resume.
We are partnering with DataAnnotation to find experienced mechanical engineers to work as remote AI trainers and evaluate how frontier AI models handle real engineering work: sizing a component against a real load case, spotting interference in a CAD assembly, a tolerance stack-up, a thermal or fluids calculation, a DFM decision or a failure analysis. The models can talk fluently about mechanical engineering; what they cannot yet do reliably is the actual work. This is project-based, 100% remote work you do from home on your own schedule, alongside a current job, including evenings and weekends.
Already have a DataAnnotation account? This opportunity runs through our partnership with DataAnnotation. If you have already taken a DataAnnotation starter assessment, you are not eligible to apply through this posting. If you created an account but never took the assessment, you can still apply.
What the Work Involves
Fully remote. Work when you want. Get paid for what you already know. Applying takes just a few minutes with your resume.
We are partnering with DataAnnotation to find experienced mechanical engineers to work as remote AI trainers and evaluate how frontier AI models handle real engineering work: sizing a component against a real load case, spotting interference in a CAD assembly, a tolerance stack-up, a thermal or fluids calculation, a DFM decision or a failure analysis. The models can talk fluently about mechanical engineering; what they cannot yet do reliably is the actual work. This is project-based, 100% remote work you do from home on your own schedule, alongside a current job, including evenings and weekends.
Already have a DataAnnotation account? This opportunity runs through our partnership with DataAnnotation. If you have already taken a DataAnnotation starter assessment, you are not eligible to apply through this posting. If you created an account but never took the assessment, you can still apply.
What the Work Involves
- Design realistic tasks from your own work, such as a component sizing calculation with a worked solution, a tolerance stack-up, a CAD assembly review, a thermal or fluids analysis, a DFM and DFA review or a test and validation plan
- Author the supporting files an engineer would use: drawings, CAD models, load cases, material data, test data, specifications
- Run those tasks through frontier AI models and grade the calculation, design review, analysis or report they produce
- Write closed-ended problems with worked solutions and acceptance criteria, plus grading rubrics
- Compare two model outputs on the same task and document where each fell short
- Flag concrete failures: wrong boundary conditions, unit errors, missed interferences, tolerance stacks that do not close, unsafe factors of safety
- Mechanical design and CAD (clearances, tolerances, mechanisms)
- Structures and materials (stress, fatigue, buckling, failure analysis)
- Thermal and fluids (heat transfer, HVAC, pumps and piping)
- Dynamics and controls (vibration, kinematics, rotating machinery)
- Manufacturing (DFM and DFA, GD&T, process selection)
- 2+ years of professional mechanical engineering in any specialty: product development, manufacturing, thermal, structural, automotive, aerospace, HVAC, robotics, energy or medical devices
- Degree in mechanical engineering or a related field; PE licensure is a plus but not required
- Fluent in the tools of your specialty: CAD (SolidWorks, Fusion 360, Onshape, Creo, NX, CATIA or Inventor), FEA or CFD, MATLAB or Python
- You currently do, or recently did, the design, analysis or test work yourself
- Meticulous: you check your own work and enjoy finding the edge case that breaks an assumption
- Hands-on practitioner: you currently do, or recently did, the work yourself as an individual contributor, not solely as a manager
- Strong written English; you can explain clearly why a result is wrong, not only that it is
- Familiar with AI tools such as Claude or ChatGPT, with the judgment to tell a well-reasoned answer from a plausible-sounding wrong one
- Comfortable working independently, following detailed written instructions and incorporating feedback
- Pay: $40 to $125 per hour, depending on project and expertise. Paid via PayPal on a regular schedule. You are paid for every step you complete
- Hours: Work whenever it suits you, including evenings and weekends. Minimum 10 hours per week with no maximum; full-time hours are available. Multi-day task timers let you spread work across days
- Location: 100% remote, work from home. Must be based in the United States, Canada, or the UK
- Tools: Access to the AI models you will evaluate is provided; no personal subscription needed
- Apply here with your resume. It takes just a few minutes, and there are no interviews
- We review your background against the role
- If it's a fit, we send you a link to take DataAnnotation's skills assessment. It's unpaid, takes about 1 to 2+ hours and tests domain judgment and careful reading. The assessment must be entirely your own work; AI-assisted submissions are detected and rejected
- If you pass, you complete onboarding and a short training project, then propose and build tasks from your own professional experience, with expert review and written feedback at each stage
Vacancy posted 4 days ago
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