Mechanical Engineering

Seattle

**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 systems --- and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll put your deep domain expertise to work by challenging, auditing, and refining how advanced AI models reason through real engineering problems. This is a rare opportunity to work at the intersection of engineering and artificial intelligence --- without leaving your home office. * Organization: Alignerr * Type: Hourly Contract * Location: Fully Remote * Commitment: 10--40 hours/week (flexible) **What You'll Do** * Design Complex Engineering Problems --- Craft advanced, domain-specific challenges spanning FEA (Finite Element Analysis), heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to rigorously test AI capabilities. * Author Ground-Truth Solutions --- Develop precise, step-by-step technical solutions and benchmark "golden responses" that AI models learn from and are evaluated against. * Audit Technical Reasoning --- Review AI-generated outputs including CAD logic, thermodynamic derivations, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.). * Identify and Correct Reasoning Failures --- Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions, and provide structured feedback that directly improves AI reasoning. **Who You Are** * Highly Educated in the Field --- Master's degree (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. * Deep Domain Knowledge --- Strong foundational expertise in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes. * A Clear Technical Communicator --- Able to translate complex physical phenomena and mathematical derivations into clear, structured written explanations. * Precise and Detail-Oriented --- Meticulous when reviewing mathematical proofs, unit conversions, boundary conditions, and physical system constraints. * No AI experience required --- if you know engineering, we'll handle the rest. **Nice to Have** * Prior experience with data annotation, technical writing, or evaluation systems * Proficiency with engineering software such as SolidWorks, ANSYS, or MATLAB * Familiarity with AI/ML workflows or large language model evaluation **Why Join Us** * Work on the Cutting Edge --- Collaborate directly with teams building the most advanced AI models in the world. * Full Flexibility --- Work remotely on your own schedule, fitting the role around your existing commitments. * Meaningful Impact --- Your engineering expertise directly shapes how AI understands and reasons about the physical world. * Autonomy --- No micromanagement. You own your work and deliver with independence. * Freelance Freedom --- Enjoy the perks of contract work: flexibility, variety, and global collaboration. * Potential for Ongoing Work --- High-quality contributors are regularly offered contract extensions.