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 to one of the most consequential technology challenges of our time: teaching AI to reason correctly about the physical world. You'll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics — stress-testing their reasoning, catching their mistakes, and helping them get better. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Advanced Engineering Problems — Create rigorous, domain-specific challenges across FEA, heat transfer, kinematics, material science, and more to probe the limits of AI reasoning. - Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the benchmarks AI models learn from. - Audit AI Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.). - Sharpen AI Reasoning — Identify and document logical failures — incorrect force distributions, energy conservation violations, flawed assumptions — and provide structured feedback that directly improves model performance. --- Who You Are - Advanced Degree in Mechanical Engineering, Aerospace Engineering, or a closely related field (Master's pursuing or completed, or PhD) - Strong Domain Knowledge in core ME disciplines — solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Clear Technical Communicator — able to explain complex physical phenomena and mathematical reasoning in writing with precision and clarity - Detail-Oriented — meticulous when checking derivations, unit conversions, boundary conditions, and system constraints - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, quality evaluation, or technical review workflows - Hands-on familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS - Background in research, academia, or technical writing --- Why This Role - Work fully remotely on a flexible schedule that fits around your existing commitments - Contribute directly to cutting-edge AI development alongside top research labs - Apply your engineering expertise in a novel, intellectually stimulating environment - Gain firsthand exposure to how large language models are trained and evaluated - Freelance autonomy — you choose when and how much you work - Potential for ongoing contract extension based on performance
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