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Mechanical Engineering Expert (Canada)

Handshake AI · Region specific · Writing / editing

Mechanical Engineering Expert (Canada) is an open role at Handshake AI, with pay listed as Up to $72/hr.

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At a glance

Pay
Up to $72/hrStated by Handshake AI
Location
Not stated in the listing
Listed
Since Sep 2, last confirmed Oct 24

How the pay compares

This role$72
Handshake AI median$83
Science / STEM roles median$78
All roles median$60

Higher than 44% of the 106 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Handshake AI’s listing

“Overview Handshake is looking for experienced Mechanical Engineers to support AI research through flexible, part-time contract work.”
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Overview

Handshake is looking for experienced Mechanical Engineers to support AI research through flexible, part-time contract work. This is not a traditional engineering role—you'll draw on your hands-on experience in parametric solid modeling, GD&T-fluent drawing interpretation, standards-based mechanical calcs, or FEA validated with hand calcs to evaluate AI-generated content and provide feedback that helps AI reason like a practicing mechanical engineer. This is an ongoing, project-based opportunity that you can take on alongside your current role or studies.

What You'll Do

  • Create expert-level mechanical engineering problems and scenarios grounded in real part, assembly, and analysis work that gets manufactured, tested, or approved
  • Review AI-generated responses for technical accuracy, practical feasibility, manufacturability, and alignment with industry standards and engineering practice
  • Evaluate models, drawings, tolerances, calculations, and FEA results for correctness, defensibility, and whether a reviewer could dimension against them
  • Provide clear, structured written feedback to help improve AI model performance
  • Complete tasks at your own pace, with no set schedule or minimum-hour requirement

Qualifications

  • Industry experience — working mechanical engineer or current undergraduate/graduate student who has personally produced a part, assembly, or analysis that someone else manufactured, tested, or approved from
  • Degree — BS, MS, or PhD in Mechanical Engineering or a closely related engineering field
  • If you are in the process of completing your bachelor's degree, internship experience is required.
  • Mechanical expertise — demonstrated depth in one or more of the following areas:
  • Parametric solid modeling built to tolerance
  • GD&T-fluent drawing interpretation
  • Standards-based mechanical design calculations
  • FEA validated against hand calcs

Additional Qualifications:

These are not require

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Frequently asked questions

How do I apply for the Mechanical Engineering Expert (Canada) role at Handshake AI?

Applications go through Handshake AI's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Handshake AI's access model is "Apply" (Apply to listed opportunities). This listing was first seen here on September 2, 2026 and was still live at the last check.

Is the Mechanical Engineering Expert (Canada) role at Handshake AI remote?

Handshake AI left the location field empty on this listing, so there is nothing to report rather than something we've withheld. The constraint that still applies is Handshake AI's overall coverage: Many roles require US work authorisation.

What does the Mechanical Engineering Expert (Canada) role at Handshake AI pay?

Handshake AI lists this role's pay as Up to $72/hr, quoted from the listing rather than estimated.

What kind of work is Mechanical Engineering Expert (Canada)?

Writing / editing. Generalist and specialist AI evaluation and training projects

Is Handshake AI a legitimate AI-training platform?

Handshake AI fellowship / opportunity network - and that relationship is rated "Confirmed" here because it can be checked against joinhandshake.com rather than taken on Handshake AI's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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