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Internship Computational Media Jobs (NOW HIRING)

... internships. * Hands-on experience working with text-as-data: media, social media, or open-source ... Experience with computational social science methods (network analysis, narrative framing, document ...

... internships. * Hands-on experience working with text-as-data: media, social media, or open-source ... Experience with computational social science methods (network analysis, narrative framing, document ...

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Internship Computational Media information

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How much do internship computational media jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for internship computational media in the United States is $11.11, according to ZipRecruiter salary data. Most workers in this role earn between $6.97 and $14.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Computational Media, and why are they important?

To thrive as an intern in Computational Media, you need a foundational understanding of computer programming, digital media design, and basic principles of human-computer interaction, often supported by coursework or related academic experience. Familiarity with tools like Adobe Creative Suite, Unity, or programming languages such as Python and JavaScript is typically expected. Creativity, problem-solving, and strong collaboration skills help interns contribute effectively to team projects and adapt to evolving technical challenges. These skills and qualities are essential for producing innovative digital content and succeeding in multidisciplinary, fast-paced environments.

What is an Internship in Computational Media?

An Internship in Computational Media is a temporary position, typically for students or recent graduates, that provides hands-on experience at the intersection of technology, art, and design. Interns work on projects involving programming, digital media, interactive design, and user experience, often contributing to creative or research-based initiatives. These internships offer opportunities to develop technical and creative skills, build a professional portfolio, and gain exposure to careers in fields like game design, interactive storytelling, and multimedia production.

What types of projects can I expect to work on during an Internship in Computational Media, and how collaborative is the work environment?

During a Computational Media internship, you can expect to work on a variety of projects that blend creative design with technical development, such as interactive media installations, digital storytelling tools, or game prototypes. The work environment is highly collaborative, often involving close teamwork with designers, developers, and sometimes artists or writers. Interns are typically encouraged to contribute ideas and participate in brainstorming sessions, while also developing technical skills through hands-on implementation. This setting provides valuable exposure to interdisciplinary workflows and opportunities to learn from peers with diverse expertise.

What is the difference between Internship Computational Media vs Internship Digital Media?

AspectInternship Computational MediaInternship Digital Media
Required SkillsProgramming, multimedia design, codingContent creation, graphic design, social media
Work EnvironmentTech companies, media firms, startupsAdvertising agencies, media outlets, marketing firms
Typical EmployerMedia tech companies, software firmsMarketing agencies, digital content creators

Internship Computational Media focuses on technical skills like programming and multimedia development, often in tech-driven environments. In contrast, Internship Digital Media emphasizes content creation and marketing skills within advertising and media companies. Both roles provide valuable industry experience but cater to different skill sets and career paths.

More about Internship Computational Media jobs
What cities are hiring for Internship Computational Media jobs? Cities with the most Internship Computational Media job openings:
What are the most commonly searched types of Computational Media jobs? The most popular types of Computational Media jobs are:
What states have the most Internship Computational Media jobs? States with the most job openings for Internship Computational Media jobs include:
Infographic showing various Internship Computational Media job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $23,100 per year, or $11.1 per hour.
Computational Social Scientist

Computational Social Scientist

Protagonist

Washington, DC

$70K - $102K/yr

Other

Posted 7 days ago


Job description

Washington, DC | Full-Time | Hybrid

Job Description

In this role, you'll apply data science and analytic methods directly to projects, turning large, often unstructured datasets into findings that teams and clients can act on. Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This is a multi-faceted role. You'll support our internal data efforts, stay hands-on with analysis and client delivery, and work with the product team to help improve Narrative Analytics, the platform our analysts use every day. Whether your background is in social science research, product and analytics, or a more technical track, what matters most is that you can take messy, real-world data and make it useful for our team and our end customers.

Responsibilities
  • Contribute to our data efforts
    • Support internal data science work: apply sound methods, keep quality high, and keep analysis reproducible and defensible.
    • Build and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.
    • Help translate qualitative research questions into structured analytical workflows.
  • Build AI-powered analytical workflows
    • Design prompts, LLM chains, and agentic workflows that automate classification, thematic coding, entity extraction, and summarization at scale.
    • Build and evaluate repeatable analytical products with real quality controls and human-in-the-loop checks.
    • Experiment with emerging techniques (RAG, multi-step reasoning, tool-using agents) to extend what we can deliver.
  • Make data usable and clear
    • Handle complex cleaning, transformation, and wrangling so the data stays trustworthy.
    • Build dashboards and visualizations (Tableau, Superset, or similar) that make insight clear to clients and colleagues alike.
    • Turn findings into actionable recommendations and present them directly to both the internal team and customers with clarity and confidence.
  • Support the product and work across teams
    • Work hand in hand with the product team to shape Narrative Analytics around what users actually need, bringing the analyst's and client's perspective into product design.
    • Collaborate across analytics, product, and client teams so the work fits together and reaches the people who depend on it.
Requirements
  • Must be eligible to work on US Government contracts
  • A BS degree in a quantitative or analytical field (data science, computer science, statistics, computational social science, political science, economics, communications, or a related discipline), or equivalent hands-on experience.
  • 2+ years of relevant experience with a bachelor's or BS degree with relevant internship experience and a proven track record of leveraging analytics to drive significant business impact, or a 1+ years of relevant experience with a master's degree with strong, practical data analytics project experience or relevant internships.
  • Hands-on experience working with text-as-data: media, social media, or open-source text corpora.
  • Working proficiency in Python and/or R, plus solid SQL for pulling, transforming, and validating data.
  • Familiarity with core NLP and ML methods (text classification, topic modeling, sentiment and stance detection, embeddings, transformers) and with applying LLMs in real workflows (prompt engineering, structured outputs, integration).
  • The ability to explain technical work to non-technical audiences and to thrive in a fast-paced, collaborative team.
Ideal Candidates
  • Existing security clearance (SECRET or higher) a plus
  • Experience designing structured content analysis or analytical frameworks for text data.
  • Experience in information environment assessment, strategic communication analysis, or media landscape monitoring.
  • Experience shaping analytical tools or platforms around real user needs.
  • Experience with computational social science methods (network analysis, narrative framing, document similarity) that go beyond keyword search.
  • Experience translating social science research questions into scalable computational approaches.
Additional Information

If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.

Protagonist is an Equal Opportunity Employer. 

Salary Range: $70,000-$102,000 based on education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.