Mechanical Engineer for AI Training

Apply advanced mechanical engineering expertise to help train next-generation AI systems. Your work will improve how these systems interpret, solve, and explain complex engineering challenges across design, analysis, and research and development. No prior AI experience is required.

• Evaluate and solve advanced mechanical engineering problems involving design, structural and thermal analysis, and research and development.
• Review AI-generated technical responses for correctness, accuracy, and engineering quality.
• Apply practical engineering judgment to real-world design and analysis scenarios as well as theoretical questions.
• Analyze and troubleshoot mechanical systems using finite element analysis, statics and dynamics analysis, thermodynamics, and vibration analysis.
• Provide domain expertise and clear written and verbal feedback to improve AI reasoning and performance.
• Collaborate remotely with distributed experts and project participants.

• MS or PhD in Mechanical Engineering, or a BS in Mechanical Engineering with 8 or more years of relevant industry experience.
• At least 5 years of hands-on experience in mechanical design, analysis, or research and development.
• Expert knowledge of engineering mechanics, statics and dynamics, thermodynamics, fluid mechanics, heat transfer, FEA, vibration analysis, structural analysis, and manufacturing.
• Ability to analyze complex mechanical systems through finite element methods, hand calculations, and experimental validation.
• Familiarity with ASME BPVC, ASME codes, relevant standards bodies, and design-for-reliability practices.
• Professional English proficiency with exceptional written and verbal communication skills.
• Experience with ANSYS, Abaqus, Nastran, CAD platforms, or product research and development in a manufacturing environment is a plus.
• Strongly preferred: demonstrated rigor in authoring engineering problems, such as service on an olympiad problem committee, textbook problem-set or solutions-manual authorship, NCEES or academic qualifying-exam item writing, ASME BPVC or related standards committee service, leading or placing highly in Formula SAE, Formula Student, ASME Student Design Competition, HPVC, NASA RASC-AL, or a DARPA challenge, a best-paper award at ASME IMECE, IDETC, or Turbo Expo, publication in JMPS, an ASME Melville or Blackall Medal, or an early-career fellowship or grant such as NSF CAREER or DOE Early Career.

• Remote contract engagement.
• Remote collaboration is required.

$60 to $100 per hour.