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ParaView Specialist

Handshake AI · Region specific · Coding / software engineering

ParaView Specialist is an open role at Handshake AI, with pay listed as Up to $125/hr.

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At a glance

Pay
Up to $125/hrStated by Handshake AI
Location
Not stated in the listing
Listed
Since Jul 20, last confirmed Oct 24

How the pay compares

This role$125
Handshake AI median$83
Coding / software engineering median$75
All roles median$60

Higher than 86% of the 130 distinct hourly rates advertised for Coding / software engineering 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

“Opportunity Overview Handshake is recruiting scientific visualization specialists with experience in data analysis and visualization tools such as ParaView to contribute to an AI research project.”
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Opportunity Overview

Handshake is recruiting scientific visualization specialists with experience in data analysis and visualization tools such as ParaView to contribute to an AI research project. In this project, you’ll apply your expertise to help improve how AI understands real-world professional tasks within your domain, such as visualizing simulation results, post-processing scientific data, and building reproducible visualization pipelines. This is an ongoing, project-based opportunity you can take on alongside your current role.

What You’ll Do

  • Use your scientific visualization experience to create tasks that today’s top AI models can’t solve based on real workflows, such as loading and filtering simulation data, volume and surface rendering, slicing and contouring, streamlines and vector fields, Python scripting with pvpython, and batch processing of large datasets
  • Review and evaluate AI-generated responses
  • Provide clear, structured written feedback to help improve AI model performance
  • Work remotely and complete tasks at your own pace, with no set schedule or minimum hour requirement

Qualifications

  • Degree: Completed Bachelor’s degree or higher in a relevant field, such as Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Applied Mathematics, or a closely related discipline
  • Tool experience: At least 2 years of work experience using ParaView

Additional qualifications (not required, but strengthen your application)

  • Experience across multiple visualization or simulation tools and workflows, such as VisIt, VTK, Python (NumPy, Matplotlib), CFD or FEA solvers (OpenFOAM, ANSYS), or running ParaView on HPC clusters
  • Professional experience in a research lab, national lab, engineering firm, or simulation-driven industry, or a portfolio of published figures, papers, or visualization work

Required for all applicants

  • Must have US work authorization
  • Strong written communication and attention to

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Frequently asked questions

How do I apply for the ParaView Specialist 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 July 20, 2026 and was still live at the last check.

Is the ParaView Specialist 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 ParaView Specialist role at Handshake AI pay?

Handshake AI lists this role's pay as Up to $125/hr, quoted from the listing rather than estimated.

What kind of work is ParaView Specialist?

Coding / software engineering. 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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