Mechanical Engineering
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. This is a unique opportunity to apply your deep domain knowledge in a brand-new way: stress-testing advanced AI on the hardest problems in fluid dynamics, thermodynamics, structural mechanics, and beyond. If you've ever wanted to shape how AI thinks about engineering, this is your chance. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Engineering Problems — Craft advanced, multi-step challenges across domains like FEA (Finite Element Analysis), heat transfer, kinematics, material science, and mechatronics to push AI to its limits. - Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning — clear, accurate, and built to engineering standards. - Audit AI Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic derivations, and material specifications for technical accuracy, safety, and compliance with standards such as ASME and ISO. - Refine AI Thinking — Identify and document logical errors in AI reasoning — from incorrect force distributions to energy conservation violations — and provide structured feedback that directly improves model performance. --- Who You Are - Advanced degree (Master's pursuing or completed, or PhD) in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong domain knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Analytical communicator — able to translate complex physical phenomena into clear, precise written explanations - Detail-oriented — rigorous when checking mathematical derivations, unit conversions, and physical system constraints - No prior AI experience required — your engineering expertise is what matters Nice to Have - Experience with data annotation, quality evaluation, or technical review workflows - Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS - Background in research, academia, or technical writing --- Why Join Us - Work on genuinely cutting-edge AI projects alongside world-class research teams - Fully remote and flexible — work on your own schedule, as much or as little as fits your life - Freelance autonomy with meaningful, intellectually stimulating work - Contribute to AI development that will shape the future of engineering and science - Potential for ongoing work and contract extension
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