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How much do internship visualization jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for internship visualization in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.
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What are the most commonly searched types of Visualization jobs? The most popular types of Visualization jobs are:
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Internship Visualization jobs near you
Infographic showing various Internship Visualization job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 74% Full Time, 13% Part Time, and 2% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Data Visualization Trainer

Technology Pvt. Ltd.

Manhattan, NY • Remote

Full-time

Posted 8 days ago

Job description

Job Description: We are seeking a talented and knowledgeable Data Visualization Trainer to deliver engaging and effective training sessions for individuals and groups. This role is ideal for both experienced professionals and fresh graduates who are passionate about teaching data visualization techniques, tools, and best practices. As a freelance Data Visualization Trainer, you will design, develop, and conduct courses that cover various aspects of data visualization.

Key Responsibilities: Course Development: Design and develop comprehensive training programs in data visualization, catering to various skill levels, including beginner, intermediate, and advanced learners. Topics include data visualization principles, tools and technologies, dashboard design, and storytelling with data. Content Creation: Create and update instructional materials such as presentations, coding exercises, datasets, and case studies that reflect current best practices and technologies in data visualization.

Training Delivery: Conduct live, interactive training sessions via online platforms, focusing on essential data visualization skills such as creating effective charts, graphs, dashboards, and interactive visualizations. Student Assessment: Assess student performance through quizzes, assignments, and practical projects. Provide constructive feedback to enhance their understanding and application of data visualization concepts.

Support and Mentorship: Offer personalized support to students, addressing their questions and assisting with troubleshooting issues related to data visualization tools, techniques, and design principles. Continuous Improvement: Stay updated with the latest trends and advancements in data visualization, including new tools, technologies, and methodologies, and incorporate these into the training curriculum. Qualifications: For Experienced Professionals: Experience: Minimum of 2-5 years of professional experience in data visualization, with hands-on experience in using data visualization tools such as Tableau, Power BI, or D3.js.

Teaching Experience: Previous experience in teaching or training, particularly in a freelance or remote capacity, is highly desirable. Technical Skills: Proficiency in data visualization tools and techniques, including advanced features and functionalities of tools like Tableau, Power BI, or similar platforms. Experience with data manipulation and preparation is also valuable.

Certifications: Relevant certifications in data visualization or related fields (e.g., Tableau Desktop Certified Professional, Microsoft Certified Data Analyst Associate) are preferred but not mandatory. Communication Skills: Strong communication skills with the ability to explain complex data visualization concepts and best practices in a clear and engaging manner. For Freshers: Education: A degree or certification in Data Visualization, Data Science, Computer Science, Statistics, or a related field.

Technical Skills: Basic knowledge of data visualization tools and techniques, gained through academic coursework, internships, or personal projects. Familiarity with tools like Tableau, Power BI, or similar platforms is a plus. Passion for Teaching: A strong interest in teaching and mentoring students in data visualization, with a commitment to developing effective training methods.

Communication Skills: Excellent verbal and written communication skills, capable of making complex data visualization topics understandable to diverse audiences. #J-18808-Ljbffr

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