CAD and Simulation Engineer for AI Training

OpenTrain AI, Inc.; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

OpenTrain AI, Inc. seeks an experienced CAD engineer to create and review technical assets for AI training across aerospace, mechanical, and electrical domains.

The role emphasizes clear, reproducible methods and meticulous engineering judgment, performed remotely on a worldwide basis. You will develop CAD models, perform simulation and analysis, define inputs/constraints/acceptance criteria, review submissions for accuracy, and document methods, results, and decisions while collaborating with

Qualifications

• Entry-level contractor role with 8-week engagement.
• Remote, worldwide assignment conducted in English.
• 20–40 hours per week with at least 4 hours overlap during Pacific Time.
• At least 10 years of experience in CAD engineering and simulation.
• Strong aerospace, mechanical, or electrical engineering fundamentals.
• Hands-on experience with modeling, simulation, or design projects.
• Professional experience with CATIA, SolidWorks, ANSYS, MATLAB, Python, KiCad, COMSOL, or comparable tools.
• Practical expertise in at least one electrical engineering area, such as circuit analysis, power systems, electrical machines, power electronics, control systems, protection, grounding, instrumentation, or electronics design.
• Ability to solve analytical problems, weigh design trade-offs, document technical work, conduct peer reviews, and explain assumptions clearly.

Responsibilities

• Develop CAD models and perform simulation and analysis for aerospace, mechanical, and electrical components.
• Turn technical requirements into simulation models and workflows.
• Define inputs, assumptions, constraints, operating conditions, output measures, and acceptance criteria.
• Check results with analytical reviews and improve designs based on simulation findings.
• Review engineering submissions for technical correctness and completeness.
• Work with engineering teams and document methods, processes, results, and engineering decisions.

Skills

CAD engineering

Simulation

Design documentation

Python

MATLAB

CATIA

SolidWorks

ANSYS

KiCad

COMSOL

Tools

CATIA

SolidWorks

ANSYS

MATLAB

Python

KiCad

COMSOL

Job description

The work

You will create and review technical assets used in AI training for aerospace, mechanical, and electrical engineering. The work calls for clear, reproducible solutions and careful technical judgment.

• Develop CAD models and perform simulation and analysis for aerospace, mechanical, and electrical components.
• Turn technical requirements into simulation models and workflows.
• Define inputs, assumptions, constraints, operating conditions, output measures, and acceptance criteria.
• Check results with analytical reviews and improve designs based on simulation findings.
• Review engineering submissions for technical correctness and completeness.
• Work with engineering teams and document methods, processes, results, and engineering decisions.

What it pays and takes

Compensation is not disclosed for this contractor assignment. The role is listed as entry level, but the requirements call for substantial professional experience in CAD engineering and simulation-focused organizations.

• Remote, worldwide assignment conducted in English.
• 8-week contractor engagement.
• 20 to 40 hours per week, with at least 4 hours of overlap during Pacific Time.
• At least 10 years of experience in CAD engineering and simulation-focused organizations.
• Strong aerospace, mechanical, or electrical engineering fundamentals.
• Hands-on experience with modeling, simulation, or design projects.
• Professional experience with CATIA, SolidWorks, ANSYS, MATLAB, Python, KiCad, COMSOL, or comparable tools.
• Practical expertise in at least one electrical engineering area, such as circuit analysis, power systems, electrical machines, power electronics, control systems, protection, grounding, instrumentation, or electronics design.
• Ability to solve analytical problems, weigh design trade-offs, document technical work, conduct peer reviews, and explain assumptions clearly.

About AI training work

AI training is the human work behind artificial intelligence, including reviewing technical material and rating or improving model outputs. Experienced engineers are needed when the work depends on accurate calculations, sound assumptions, and specialist judgment.