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As of Sep 2, 2026, the average hourly pay for internship django react in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is an internship Django React?

An Internship Django React is a temporary, entry-level position where students or recent graduates gain practical experience working with the Django backend framework and React frontend library. Interns typically assist with developing full-stack web applications, learning to build APIs with Django and create interactive user interfaces with React. The internship helps participants apply their programming knowledge in real-world projects, collaborate with experienced developers, and enhance their career prospects in web development.

What types of projects and responsibilities can I expect during an internship focused on Django and React?

As an intern working with Django and React, you will typically assist with full-stack web development projects, contributing to both backend logic and frontend interfaces. Your daily tasks may include building RESTful APIs with Django, developing interactive user interfaces with React, and resolving bugs or implementing new features under the guidance of experienced developers. You’ll also participate in code reviews, team meetings, and may collaborate closely with designers, QA testers, or other interns. This environment provides a great opportunity to learn best practices, gain hands-on experience with modern development workflows, and build a portfolio of real-world projects.

What are the key skills and qualifications needed to thrive as an internship Django React, and why are they important?

To thrive as an intern working with Django and React, you need a foundational understanding of Python, JavaScript, web development concepts, and ideally some experience with front-end and back-end frameworks. Familiarity with tools like Git, REST APIs, and basic database management, as well as coursework or certification in web technologies, are commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns adapt quickly and collaborate with teams. These skills ensure that you can contribute to real-world projects, learn efficiently, and integrate smoothly into professional development environments.
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Infographic showing various Internship Django React job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

Aerospace/Aviation Artificial Intelligence Developer - Intern

SimIS Inc.

Suffolk, VA • On-site

$18 - $19/hr

Other

Posted 12 days ago

Job description

UNDERGRADUATE INTERNSHIP
Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success.
Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).
SimIS, Inc. is seeking Artificial Intelligence Developer Intern to:
  • Develop and train Artificial Intelligence (AI) tools to help automate processes for Aerospace/Aviation Machine Language (ML) tool development. Duties include designing and programming AI systems, testing the ML tools and processes developed, working with autonomous systems, and resolving issues with algorithms and data to ensure the system works correctly.
  • Evaluate machine learning processes to enhance automation.
  • Collect and analyze large amounts of data to identify trends, ambiguities, and inconsistencies using data analytics.
  • Program knowledge and some experience with AI software utilizing large amounts of data. Managing the data, project infrastructure, and supporting the development of the most effective and efficient AI software architecture.
  • Knowledge and some skill developing and deploying AI algorithms with an understanding of how artificial intelligence works.
  • Ability to build containerized application tools following the 12 Factor App methodology, Test Driven Development (TDD), Continuous Integration / Continuous Deployment (CI/CD) concepts, and Extreme Programming (XP).
  • Collaborating with other team members to establish goals for AI processes. Develop products as part of a balanced Agile development team to include Product Manager, Product Owner, engineers, developers, cyber specialist, and scientists and drive technical feasibility for the product backlog.
  • Experience and knowledge with various AI tools such as Tabnine, GitHub Copilot, CHATGBT, Google Bard, Perplexity AI, Claude, Cursor AI, Softr, Microsoft Power Apps, Codeium, Amazon CodeWhisperer, Quickbase, Airtable Cobuilder, Databutton, AutoNav, ExoMiner, MLNav, ASPEN, MAPGEN, Prithvi and Tensorflow are desired.
  • Staying up to date on the latest AI developments with an understanding of data science.
  • Experience and/or knowledge in full-stack JavaScript/Python/Java/C/C++/C# development, front-end development (e.g., React, Angular, HTML, HTML5, JS, CSS, SASS, etc…), back-end development (e.g., Node.js, Django/Flask, SpringBoot, etc…), and database design and programming (mySQL, PostgreSQL, MongoDB, etc…).
  • Aptitude for math, statistics, and NASA’s core mission areas - aeronautics, exploration systems, science, space operations, and space technology, strong analytical and problem-solving skills, and proficiency in coding languages and software programming.
  • Robust teamwork, communication and collaboration skills with ambitious self-motivation attitude and honed attention to detail and concentration competence.
  • Able to support the management of third-party cloud computing platforms, including architectural design, access controls, cost-effective usage monitoring; cloud security (e.g., hardening, authentication, authorization).
  • Able to use distributed learning specifications (e.g., SCORM, xAPI, Dublin Core) and familiarity with virtualization software and virtualized server implementations.
  • Able to collaboratively develop and maintain software (e.g., via GitHub), develop software technical documentation and user guides, find, and fix software bugs, and have familiarity with standard web security (e.g., SSL certificates, OAuth).
  • Able to pick up and learn new languages and frameworks.
  • Adopts industry best practices, with a security first mindset and understands DevSecOps principles.
  • Fluent in English and skills in written and oral communication.
  • Candidate must be working towards a Bachelor of Science degree in a related field, such as computer science, engineering, mathematics, statistics or data science. Experience as an AI Developer/Engineer is highly desired.
  • This is an on-site position which will require duty on-site in Suffolk, VA with an expected 14 – 16 hour/week work schedule. This position may have some latitude to authorize work from home dependent on project assigned.
SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

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