Mechanical Engineer for AI Training

SaidGig; New York (NY); Remote; USD 83,000 - 138,000; Full time

Benefits offered by this job

Remote collaboration

Job summary

SaidGig seeks a highly skilled Mechanical Engineer to apply advanced mechanics for AI training, spanning design, analysis, and R&D. You will help AI systems interpret and solve complex engineering challenges, with no prior AI experience required.

The role focuses on FE methods, experimental validation, and clear feedback to improve AI reasoning, with remote collaboration across distributed experts and project participants. A doctoral or equivalent background is preferred.

Qualifications

• MS or PhD in Mechanical Engineering or a BS in Mechanical Engineering with 8+ years of relevant industry experience.
• At least 5 years of hands-on experience in mechanical design, analysis, or R&D.
• Expert knowledge of mechanics, statics/dynamics, thermodynamics, fluid mechanics, heat transfer, FEA, vibration analysis, structural analysis, and manufacturing.
• Ability to analyze complex systems via finite element methods, hand calculations, and experimental validation.
• Familiarity with ASME BPVC, ASME codes, standards bodies, and design-for-reliability practices.
• Professional English with strong written and verbal communication skills.
• Experience with ANSYS, Abaqus, Nastran, CAD platforms, or related product R&D in manufacturing is a plus.

Responsibilities

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

Skills

Engineering mechanics

Finite element analysis

Thermodynamics

Vibration analysis

Engineering judgment

Education

MS/PhD in Mechanical Engineering

BS + 8+ years experience

Tools

ANSYS

Abaqus

Nastran

CAD platforms

Job description

Role Overview

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.

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.
• 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.

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 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.

Work Terms

Remote contract engagement. Remote collaboration is required.

Compensation

$60 to $100 per hour.