Mechanical Design Engineer - AI Training Project (India)
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks senior mechanical design engineers for part-time, remote project work that sharpens how models handle engineering tasks. You will apply hands-on experience with parametric CAD, GD&T, and design for manufacturing to build expert problems and judge AI answers for technical accuracy and manufacturability. The schedule stays open: no minimum hours and no set shifts, so the work fits alongside a current engineering role. Every task feeds structured feedback that helps the model reason like a practicing design engineer. India work authorization is required.
What You'll Do5
- 1Build expert-level mechanical design scenarios that stem from real CAD, tolerancing, and production workflows.
- 2Assess AI-generated answers for technical accuracy, manufacturability, and fit with standard engineering practice.
- 3Deliver structured written feedback that highlights flaws and supports model improvement.
- 4Work without a fixed schedule or minimum hour target, choosing when and how much to contribute.
- 5Use depth in one sub-domain, such as parametric CAD, GD&T and DFM, or FEA simulation, to guide evaluations.
Requirements9
- 1Senior-level industry background with a portfolio of manufactured designs and complex GD&T or FEA work. A strong portfolio outweighs an advanced degree on its own.
- 2BS or MS in Mechanical Engineering, paired with practical industry experience.
- 3Demonstrated depth in one area: parametric CAD (SolidWorks, CATIA, Fusion 360, or Onshape), GD&T and design for manufacturing, or FEA and simulation.
- 4Indian work authorization.
- 5Strong written communication and close attention to detail.
- 6Ability to explain complex mechanical design concepts in plain language.
- 7Ability to work on your own in a remote, asynchronous setup.
- 8Proficiency with multiple CAD platforms and simulation environments.
- 9A portfolio that shows designs carried from concept through manufacturing.
Who Should Apply
Senior mechanical design engineers with a portfolio of manufactured parts and deep work in parametric CAD, GD&T, or FEA fit best. Handshake AI also welcomes applicants who meet two of the three core qualifications, such as a strong industry record plus one sub-domain specialty. The role suits engineers who can explain tolerance decisions, DFM tradeoffs, and simulation results in writing, with Indian work authorization and comfort in an asynchronous remote setup. Candidates with only academic projects, no evidence of production designs, or little writing experience tend to score lower. A common rejection point is a portfolio that lists software but omits parts taken from concept through manufacturing, or feedback samples that stay vague about why an AI answer fails on manufacturability.
Salary Insight
The listing sets pay at $47.00 per hour. That rate aligns with the senior-level portfolio and GD&T or FEA depth the project asks for. No other compensation details appear in the source; any questions about project scope or payment timing would come up during the application process.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$47/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits below that range.
Based on 621 similar roles that publish pay · 97 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
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- llm evaluation7%
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Compensation
$47/hr
Required Skills
Application Tip
Lead your application with a portfolio link and two or three parts that show the full arc from SolidWorks, CATIA, Fusion 360, or Onshape model to GD&T callouts, DFM choices, and final manufacturing. Add one short writing sample that critiques a flawed tolerance stack or FEA result, since evaluation work depends on clear written feedback.
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