Remote Mechanical Engineer for AI Design & Simulation

OpenTrain AI

United States

Remote

USD 83,000 - 165,000

Full time

6 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
No commute

Job summary

OpenTrain AI seeks highly qualified mechanical engineers for remote, contractor work. You will be paid per accepted task, at an hourly equivalent of $60–$120, with about 15 hours of work per week and the freedom to choose when you work from anywhere in the United States.

You will create mechanical engineering tasks, build models, run simulations, and craft engineering solutions while clearly explaining any shortcomings of AI-generated work.

Qualifications

  • MS or PhD in Mechanical Engineering or related field.
  • Experience turning engineering requirements into tasks and models.
  • Experience with analytical, computational, or simulation-based methods.
  • Working knowledge of Python for solving engineering problems.
  • Fluent English and ability to explain AI tooling outputs.

Responsibilities

  • Create rigorous mechanical engineering tasks involving design, physical modeling and simulation.
  • Build computational models by defining geometry, meshes, materials, loads, contacts and boundary conditions.
  • Run simulations and judge whether results meet the physical and design requirements.
  • Write and validate engineering solutions, then explain clearly where the AI's work is technically wrong or incomplete.

Skills

Mechanical engineering
Analytical/problem solving
Python programming
English fluency

Education

MS or PhD in Mechanical Engineering
Degree in related engineering discipline

Tools

Python

Job description

OpenTrain AI seeks highly qualified mechanical engineers for remote, contractor work. You will be paid per accepted task, at an hourly equivalent of $60–$120, with about 15 hours of work per week and the freedom to choose when you work from anywhere in the United States.

You will create mechanical engineering tasks, build models, run simulations, and craft engineering solutions while clearly explaining any shortcomings of AI-generated work.

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