Part-Time CAD Engineer for AI Benchmarking on Mac

Mercor; Sydney; Hybrid; AUD 55,000 - 83,000; Part time

Job summary

Mercor is seeking mechanical/CAD engineers with 2–3 years of professional experience or current postgrad engineering students to support a research project with a leading AI lab.

You will work on real engineering design workflows on your Mac, benchmarking and improving cutting-edge AI models while producing high-quality training data. The role emphasizes clear explanations of engineering decisions and strong communication skills.

Qualifications

• Degree in Mechanical Engineering or a related field with hands-on 3D modeling and drafting experience.
• Currently pursuing or recently completed Masters studies, or 2–3 years of relevant experience plus a Bachelor's from a prestigious institution.
• Proficiency in Mac-compatible CAD tools such as Fusion 360, Onshape, Shapr3D, or FreeCAD; familiarity with GD&T and engineering drawings is a plus.
• You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.
• Ability to clearly explain your engineering decisions while you work.
• Excellent written and verbal communication skills

Responsibilities

• Complete and narrate real mechanical design and CAD tasks on your Mac to create high-quality training data for AI models.
• Work through real design workflows with limited supervision.
• Maintain clearly structured responsibilities without high pressure.
• Prepare and communicate results effectively to the AI project team.

Skills

Engineering judgment

Verbal communication

Written communication

Education

Mechanical Engineering degree

Masters studies

Tools

Fusion 360

Onshape

Shapr3D

FreeCAD

Job description

Mercor is seeking mechanical/CAD engineers with 2–3 years of professional experience or current postgrad engineering students to support a research project with a leading AI lab.

You will work on real engineering design workflows on your Mac, benchmarking and improving cutting-edge AI models while producing high-quality training data. The role emphasizes clear explanations of engineering decisions and strong communication skills.