About The RoleWe're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve how AI reasons through complex engineering problems.Mechanical Engineering AI TrainerAbout The RoleWe're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve how AI reasons through complex engineering problems.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Advanced Engineering Problems — Create challenging, real-world problems spanning fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performanceAuthor Gold-Standard Solutions — Write detailed, step-by-step technical solutions that serve as benchmarks for AI learning and model evaluationAudit AI Reasoning — Review and evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.G., ASME,



ISO)Identify & Fix Reasoning Failures — Spot logical errors such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve the model's reasoning processWork Flexibly and Independently — Complete task-based assignments on your own schedule, fully remoteWho You ArePursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related fieldStrong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processesAble to communicate complex technical concepts and physical phenomena clearly in written formHighly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraintsSelf-motivated and comfortable working independently in an async environmentNo prior AI experience requiredNice to HavePrior experience with data annotation, data quality, or AI evaluation systemsProficiency with engineering software such as SolidWorks, MATLAB, or ANSYSFamiliarity with evaluating or reviewing technical code or simulation workflowsWhy Join UsWork on cutting-edge AI projects with top AI research labs and teamsFully remote and versatile — work on your own schedule, anywhere in the worldFreelance perks: autonomy, variety, and global collaborationGain first-hand exposure to how advanced large language models (LLMs) are trained and evaluatedMake a meaningful impact by improving how AI understands and applies engineering knowledgePotential for ongoing work and contract extension

📌 Mechanical Engineering (Moncton)
🏢 Alignerr
📍 Moncton