Electrical Engineering — AI Data Trainer About the Role We partner with the world's leading AI research labs to build smarter, more technically capable AI models — and we need electrical engineers to make it happen.
Mechanical Engineering
Remote (Global)
$35 – $60/hr
June 23, 2026
Job description
Mechanical Engineering AI Trainer
About the Role
We're looking for mechanical engineers to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep technical expertise will directly shape how AI reasons through complex engineering problems — from fluid dynamics to structural mechanics.
This is a rare opportunity to work at the intersection of advanced engineering and frontier AI, entirely on your own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Engineering Problems — Create advanced, multi-step challenges across domains like FEA (Finite Element Analysis), heat transfer, kinematics, thermodynamics, and material science to rigorously stress-test AI performance
- Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that guide AI learning and set the standard for engineering reasoning
- Audit Technical Outputs — Evaluate AI-generated results including CAD logic, thermodynamic derivations, and material specifications for accuracy, physical validity, and adherence to engineering standards (ASME, ISO, etc.)
- Refine AI Reasoning — Identify flaws in AI reasoning — such as incorrect force distributions, energy conservation violations, or improper boundary conditions — and deliver structured feedback that improves model performance
Who You Are
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
- Strong foundational knowledge across core ME domains: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex physical concepts and mathematical reasoning clearly in written form
- Meticulous attention to detail — especially when reviewing derivations, unit analysis, and system constraints
- No prior AI or data annotation experience required
Nice to Have
- Prior experience with data annotation, evaluation systems, or technical writing
- Hands-on proficiency with engineering tools such as SolidWorks, ANSYS, or MATLAB
- Familiarity with engineering simulation workflows or AI-generated code review
Why Join Us
- Work on some of the most advanced AI models being built today
- Fully remote and async — work when and where it suits you
- Freelance autonomy with meaningful, intellectually stimulating work
- Collaborate with a global network of domain experts and AI researchers
- Ongoing contract potential as projects grow and expand
Apply now
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