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Mechanical Engineer for AI Training [Remote]

$80 - $100 per hour

SaidGig

Canada
  • Remote job

Role Overview

Apply deep mechanical engineering expertise to help train and improve next-generation AI systems. You will shape how these systems interpret, solve, and explain complex engineering challenges across design, analysis, and research and development. No prior AI experience is required, your mechanical engineering knowledge is central to this work.

Key Responsibilities

  • 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.
  • Use practical engineering judgment on 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 input that improves AI reasoning in mechanical engineering.
  • Document feedback and deliver clear written and verbal explanations that support AI learning and performance.
  • Collaborate remotely with distributed experts and project participants.

Qualifications

  • 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 mechanical design, analysis, or research and development experience.
  • Expert knowledge of engineering mechanics, including statics and dynamics, thermodynamics, fluid mechanics, heat transfer, finite element analysis, and vibration and structural analysis.
  • Demonstrated ability to analyze complex mechanical systems through finite element methods, hand calculations, and experimental validation.
  • Familiarity with ASME BPVC, other ASME codes, relevant standards bodies, and design-for-reliability practices.
  • Professional English proficiency and exceptional written and verbal communication skills.
  • Remote collaboration skills.
  • Experience with ANSYS, Abaqus, Nastran, CAD platforms, manufacturing environments, or product research and development is a plus.
  • Problem-authoring rigor is strongly preferred, such as work on an olympiad problem committee; textbook problem-set or solutions-manual authorship; item writing for an NCEES or academic qualifying exam; service on an ASME BPVC or related codes or standards committee; a top placement or team-lead role 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.

Work Terms

  • Remote independent contractor engagement.

Compensation

$80 to $100 per hour.

Vacancy posted 13 days ago
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