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Computational Fluid Dynamics Engineer - AI Trainer

Handshake

Computational Fluid Dynamics Engineer - AI Trainer

Handshake

Remote (USA)

·

Remote

·

Full-time

·

4d ago

Opportunity Overview:

Handshake is looking for skilled Para View 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 scientific visualization, fluid dynamics simulation, or large dataset analysis to evaluate AI-generated content and provide feedback that helps AI better understand computational science tasks and HPC 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 Para View user who has worked in or around roles like:

  • Computational Fluid Dynamics Engineer or Research Scientist

  • Aerospace Engineer or Applied Mathematician

  • HPC Specialist or Computational Scientist

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

  • Scientific visualization, CFD post-processing, or large dataset analysis using Para View

  • Fluid dynamics simulation, VTK workflows, or HPC data pipelines

  • Annotating or labeling simulation outputs and scientific datasets

  • Reviewing visualization results for accuracy, performance, or scientific consistency

What You'll Do:

You'll use your experience with Para View to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world CFD and scientific visualization 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 Para View, whether through professional work or freelance projects

  • A working knowledge of CFD post-processing, scientific visualization concepts, and HPC workflows

  • 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