Mechanical Engineering

Mechanical Engineering — AI Data TrainerAbout The RoleWe're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need mechanical engineers who know their stuff. As an AI Data Trainer, you'll push advanced language models to their limits, expose their blind spots, and help shape how the next generation of AI reasons through complex engineering problems.This is a rare opportunity to apply your deep technical knowledge in a completely new domain — one that's actively defining the future of technology.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Challenging Problems — Craft advanced mechanical engineering problems across domains like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to stress-test AI reasoningAuthor Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions and benchmark responses that AI models learn from and are evaluated againstAudit Technical Accuracy — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for correctness, safety, and compliance with engineering standards (e.g., ASME, ISO)Improve AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve model performanceWho You AreCurrently pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related fieldStrong foundational knowledge in core areas such as solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processesAble to communicate complex technical concepts clearly and precisely in writingDetail-oriented with a sharp eye for mathematical derivations, unit conversions, and physical system constraintsSelf-motivated and comfortable working independently on an async scheduleNo prior AI experience requiredNice to HaveExperience with data annotation, quality evaluation, or technical review workflowsFamiliarity with engineering software such as SolidWorks, MATLAB, or ANSYSBackground in aerospace, mechatronics, robotics, or manufacturing engineeringWhy Join UsWork on cutting-edge AI projects alongside top research labs and institutionsFully remote and flexible — work on your own schedule, from anywhereGain rare, first-hand exposure to how advanced large language models are trained and evaluatedFreelance perks: autonomy, variety, and collaboration with a global network of expertsPotential for ongoing work and contract extension based on performance