Mechanical Engineering
About this role
About the Role We're looking for mechanical engineers to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics to structural mechanics. This is a rare opportunity to step outside traditional engineering work and make a lasting impact on the future of artificial intelligence — 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 Complex Engineering Problems — Craft advanced, domain-specific problems across areas like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to rigorously test AI reasoning and performance - Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning, ensuring accuracy and adherence to engineering standards (ASME, ISO, etc.) - Audit AI-Generated Outputs — Evaluate AI-produced CAD logic, thermodynamic proofs, and material specifications for technical correctness, physical plausibility, and safety - Refine AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve model performance - Work Independently — Manage your own workload asynchronously with full flexibility over your schedule Who You Are - Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex technical concepts clearly and precisely in written form - Highly detail-oriented — comfortable verifying mathematical derivations, unit conversions, and physical system constraints - Self-motivated and reliable when working independently - No prior AI experience required Nice to Have - Experience with data annotation, data quality evaluation, or technical review workflows - Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS - Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and flexible — work when and where you want - Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated - Freelance autonomy: no meetings, no commute, no micromanagement - Collaborate with a global team of technical experts - Potential for ongoing work and contract extension
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