Mechanical Engineering Expert - AI Content Specialist
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. Your deep domain knowledge will directly shape how AI understands and reasons through complex engineering problems. This is a rare opportunity to work at the intersection of engineering and artificial intelligence, applying your expertise in fluid dynamics, thermodynamics, structural mechanics, and beyond — all on your own schedule, fully remote. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Craft advanced, multi-step problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to rigorously test AI performance - Author Ground-Truth Solutions — Develop detailed, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluation - Audit AI Reasoning — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Sharpen AI Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions — and provide structured feedback to improve model outputs Who You Are - Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong foundational expertise in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex physical phenomena and technical concepts clearly and precisely in writing - Meticulous attention to detail — comfortable checking mathematical derivations, unit conversions, and physical system constraints - No prior AI experience required — we'll get you up to speed Nice to Have - Experience with data annotation, data quality evaluation, or technical content review - Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS - Familiarity with AI or large language model (LLM) workflows Why Join Us - Work on cutting-edge AI projects alongside top research labs and AI teams - Fully remote and async — work on your own schedule, wherever you are - Freelance perks: autonomy, variety, and collaboration with a global expert community - Meaningful impact — your engineering knowledge directly improves how AI reasons about the physical world - Potential for ongoing work and contract extension
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