Mechanical Engineering

**Mechanical Engineering — AI Trainer** **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