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Mechanical Engineer - AI Trainer

Handshake

Mechanical Engineer - AI Trainer

Handshake

Remote (USA)

·

Remote

·

Full-time

·

5d ago

Opportunity Overview:

Handshake is looking for skilled Solve Space users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with geometric constraint modeling, mechanism design, or parametric 3D CAD to evaluate AI-generated content and provide feedback that helps AI better understand mechanical design tasks and engineering workflows.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Who This Is For:

This is a good fit if you're an experienced Solve Space user who has worked in or around roles like:

  • Mechanical Engineer or Mechanism Design Engineer

  • Robotics Engineer or R&D Engineer

  • Kinematics Researcher or CAD Designer

You should have solid experience with one or more of the following:

  • Geometric constraint modeling, mechanism design, or parametric 3D CAD using Solve Space

  • Robotics CAD, kinematic analysis, or mechanical assembly workflows

  • Annotating or labeling CAD models and engineering drawings

  • Reviewing mechanical designs for accuracy, performance, or design consistency

What You'll Do:

You'll use your experience with Solve Space to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world mechanical design and engineering workflows.

No prior AI or technical experience is required.

Qualifications:

We're looking for people who have:

  • At least 3+ years of hands-on experience with Solve Space, whether through professional work or freelance projects

  • A working knowledge of geometric constraint solving, mechanism design, and parametric modeling concepts

  • Strong written communication skills and attention to detail

  • The ability to work independently and follow written guidelines

Application Process

  • Create a Handshake account

  • Upload your resume and verify your identity

  • Get matched and onboarded into relevant projects

  • Start working and earning

Work Model and Project Details:

  • Status: Independent contractor (not a full-time employee role)

  • Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer

  • Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project

  • Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available

Work Authorization

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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About Handshake

Handshake

Handshake

Series E

Handshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.

501-1,000

Employees

San Francisco

Headquarters

$3.5B

Valuation

Reviews

3.7

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

2.5

Management

3.0

25%

Recommend to a Friend

Pros

Platform available for job applications

Cons

Difficulty finding jobs

Low success rate after many applications

Salary Ranges

6 data points

Mid/L4

Mid/L4 · Goods In Team Leader and Stock Controller

1 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 60%

Neutral 0%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Coding/Algorithm

Past Experience

Culture Fit