Mechanical Engineering Expert - AI Content Specialist
About this role
About the Role We're looking for mechanical engineering specialists to help train and evaluate cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and beyond. This is a rare opportunity to sit at the intersection of engineering and artificial intelligence, contributing to some of the most advanced AI research happening today — all on your own schedule, from anywhere in the world. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI performance - Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions and benchmark responses that AI models use as a reference for learning - Audit Technical Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Refine AI Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed stress analyses — and provide structured feedback to improve model accuracy Who You Are - Pursuing or completed a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing - High attention to detail when working with mathematical derivations, unit conversions, and physical system constraints - No prior AI experience required — if you know engineering, we'll handle the rest Nice to Have - Experience with data annotation, data quality, or technical evaluation workflows - Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS - Familiarity with evaluating AI-generated code, simulations, or technical workflows Why Join Us - Work on cutting-edge AI projects in collaboration with leading AI research labs - Fully remote and flexible — work independently on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Gain unique exposure to how large language models are trained and evaluated - Contribute to meaningful work that advances AI reasoning in science and engineering - Potential for ongoing work and contract extension
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