Mechanical Engineering
About this role
About the Role We partner with the world's leading AI research labs to build smarter, more reliable AI systems — and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep technical expertise to challenge, evaluate, and improve how advanced AI models reason through complex engineering problems. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — contributing directly to the next generation of AI tools used by engineers and researchers worldwide. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Engineering Problems — Craft challenging problems across fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performance - Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI training and evaluation - Audit AI Reasoning — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.) - Refine Model Thinking — Identify and document logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed structural assumptions — and provide structured feedback to improve model quality - Document Failure Modes — Systematically capture how and where AI models break down so engineering teams can address weaknesses Who You Are - Advanced Degree — Master's (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline - Deep Domain Knowledge — Strong foundational expertise in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Technical Communicator — Able to explain complex physical phenomena and mathematical reasoning clearly and concisely in writing - Precision-Oriented — High attention to detail when reviewing derivations, unit conversions, boundary conditions, and physical constraints - No AI experience required — Your engineering expertise is what matters Nice to Have - Experience with data annotation, data quality, or technical evaluation workflows - Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS - Familiarity with FEA solvers or CFD simulation environments - Prior technical writing or peer review experience Why Join Us - Work on cutting-edge AI projects with top research labs around the world - Fully remote and flexible — work on your own schedule, 10–40 hours per week - Freelance autonomy with meaningful, intellectually stimulating work - Directly influence how AI understands and reasons through engineering challenges - Potential for ongoing work and contract extension
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