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Scientific Visualization Jobs in Arizona (NOW HIRING)

Data Scientist

Phoenix, AZ · On-site +1

$106K - $158K/yr

Utilize visualization tools, such as Oracle Business Intelligence Enterprise Edition (OBIEE), and Power BI. * Plan and conduct data science projects in support of workload forecasting; identifying ...

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If ... Utilize your storytelling and visualization skills to turn RPA and AI data insights into compelling ...

Scientist 2

Scottsdale, AZ · On-site

$75K - $81K/yr

Work includes data extraction, cleaning, statistical analysis, visualization, survey research ... Familiarity with learning science or VR-based education research Education / Certifications PhD ...

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Showing results 1-20

Scientific Visualization information

See Arizona salary details

$24.2K

$57.8K

$93.7K

How much do scientific visualization jobs pay per year?

As of Jun 25, 2026, the average yearly pay for scientific visualization in Arizona is $57,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $67,600.00 per year, depending on experience, location, and employer.

What does a scientific visualizer do?

A scientific visualizer creates visual representations of complex data and scientific concepts using tools like 3D modeling, data visualization software, and graphic design. Their work helps communicate research findings clearly and often involves understanding scientific principles and technical skills in software such as MATLAB, Blender, or Tableau.

What are typical projects or tasks a Scientific Visualization professional works on?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What are the key skills and qualifications needed to thrive in the Scientific Visualization position, and why are they important?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

Is data visualization a good career?

Scientific visualization is a viable career that involves creating visual representations of complex data to aid understanding and decision-making. It requires skills in programming, data analysis, and visualization tools like Tableau or D3.js, and often offers opportunities in research, technology, and industry sectors. The field is growing as data-driven decision-making becomes increasingly important across various industries.

How much does a data visualizer earn?

A data visualizer's salary typically ranges from $50,000 to $100,000 annually, depending on experience, education, and location. Professionals skilled in tools like Tableau, Power BI, or D3.js and with strong analytical skills tend to earn higher salaries in this field.

What jobs are good for visual thinkers?

Scientific visualization jobs are well-suited for visual thinkers, as they involve creating graphical representations of complex data to aid understanding. These roles often require skills in data analysis, computer graphics, and software tools like MATLAB or Tableau, and may involve collaboration with scientists and researchers. Visual thinkers excel in fields that demand strong spatial reasoning and the ability to communicate information visually.

What is a Scientific Visualization job?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

What are popular job titles related to Scientific Visualization jobs in Arizona? For Scientific Visualization jobs in Arizona, the most frequently searched job titles are:
Infographic showing various Scientific Visualization job openings in Arizona as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $57,830 per year, or $27.8 per hour.

Material Sciences - Graduates - AI Training - US

Prolific Academic Ltd

Phoenix, AZ • On-site, Remote

$40/hr

Full-time

Posted 27 days ago


Job description

Material Sciences - Graduates - AI Training - USAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Materials Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models using real scientific expertise. If you have a background in materials research, engineering, or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay $40+/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Educational Background: at minimum, a BSc (Bachelor of Science) in Materials Science, Metallurgy, Chemical Engineering, or a closely related STEM field.
  • Technical Literacy: deep interest or experience in materials research, including the ability to interpret phase diagrams, crystalline structures, and property data.
  • Analytical Rigor: strong attention to detail and the ability to concentrate on complex technical tasks for extended periods.
  • Professional Verification: a valid LinkedIn profile or professional history to verify your credentials during the screening process.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • AI Evaluation & Ranking: comparing multiple AI-generated technical explanations or research summaries and ranking them based on scientific accuracy and logic.
  • Strategic Document Audit: reviewing Materials Science scientific papers alongside AI-generated graphical abstracts to identify inaccuracies or misrepresentations.
  • Fact-Checking: verifying that the AI-generated data (formulas, material properties, and experimental results) faithfully represent the source scientific documentation.
  • Model Alignment: providing high-level feedback to help AI models produce "enterprise-ready" corporate and scientific intelligence.
  • Technical Verification: auditing the structural integrity of summaries involving complex chemical compositions and material behaviors.
Key Technologies
  • Generative AI (LLMs): training and fine-tuning models specialized in STEM and corporate intelligence.
  • Scientific Visualization: evaluating AI-generated graphical abstracts and data visualizations.
  • Research Databases: navigating technical literature to provide "ground truth" data.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

Website

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.