Mechanical AI Benchmark Engineer

ASME

United States

A distancia

USD 55.000 - 172.000

Jornada completa

14 días+

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Descripción de la vacante

ASME is seeking a Mechanical Engineering AI Model Evaluator to craft challenging, closed-ended problems drawn from your mechanical specialty. You will derive, verify, and provide worked solutions, then test these problems against AI systems to push the models toward true engineering reasoning.

You will review AI-generated analyses and designs for accuracy and real-world relevance, and you will critique others' contributions for rigor and clarity.

Formación

  • 2+ years of professional mechanical engineering experience in any specialty.
  • Ability to write precise, unambiguous technical problems and worked solutions in fluent English.
  • Proficiency with CAD tools and engineering analysis software.
  • Strong fundamentals across mechanics of materials, dynamics, thermodynamics, heat transfer, and manufacturing processes.

Responsabilidades

  • Write challenging, closed-ended problems from your area of expertise that require engineering reasoning.
  • Derive, verify, and provide worked solutions for each problem.
  • Test problems against AI systems and refine them to elevate challenge.
  • Review AI-generated analyses, designs and documentation for correctness and real-world applicability.
  • Review others' problems and solutions for correctness, ambiguity and rigor.

Conocimientos

Attention to detail
Fluent written English
Technical problem writing
Engineering judgment

Educación

Bachelor's degree in mechanical engineering or related field

Herramientas

CAD tools
FEA/CFD
MATLAB/Python

Descripción del empleo

ASME is seeking a Mechanical Engineering AI Model Evaluator to craft challenging, closed-ended problems drawn from your mechanical specialty. You will derive, verify, and provide worked solutions, then test these problems against AI systems to push the models toward true engineering reasoning.

You will review AI-generated analyses and designs for accuracy and real-world relevance, and you will critique others' contributions for rigor and clarity.

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