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Internship Applied Intelligence Jobs (NOW HIRING)

Wood Plc

Electrical Controls Co-Op

Warren, MI

$75K - $100K/yr

Overview / Responsibilities Wood Applied Intelligence- Automation and Controls is currently recruiting Electrical Control Interns to join our team. This is an opportunity to work in a global ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... intelligence, and enterprise software deployment. * Duration: 10 weeks (full-time), June through ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... intelligence, and enterprise software deployment. * Duration: 10 weeks (full-time), June through ...

Krum ISD

School Psychologist - Krum ISD

Krum, TX

Knowledge of procedures for assessing achievement and intellectual, emotional, and behavioral ... An individual who has completed an internship, applied for a license, and been approved by the ...

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Internship Applied Intelligence information

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How much do internship applied intelligence jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for internship applied intelligence 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.

What is the difference between Internship Applied Intelligence vs Data Analyst Intern?

AspectInternship Applied IntelligenceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentTech companies, AI-focused teamsBusiness, finance, tech sectors
Employer & Industry UsageAI and machine learning firms, tech giantsCorporations, consulting firms, startups
Common Search & Comparison IntentUnderstanding roles in AI internshipsExploring data analysis internship opportunities

Internship Applied Intelligence focuses on AI and machine learning projects, requiring knowledge of programming and AI concepts. In contrast, Data Analyst Internships emphasize data interpretation, statistical analysis, and business insights. Both roles are valuable entry points in tech and data-driven industries, but they target different skill sets and industry applications.

What types of projects can I expect to work on as an Applied Intelligence intern, and how will I collaborate with other team members?

As an Applied Intelligence intern, you will typically work on data-driven projects such as developing predictive models, analyzing large datasets, or supporting the implementation of AI solutions for real-world business challenges. You’ll often collaborate with data scientists, engineers, and business analysts, participating in brainstorming sessions, stand-up meetings, and code reviews. Interns are encouraged to contribute their ideas and may also assist in preparing presentations or reports for stakeholders. This collaborative and fast-paced environment offers valuable exposure to both technical tasks and strategic problem-solving.

What is an Internship in Applied Intelligence?

An Internship in Applied Intelligence is a temporary position for students or recent graduates to gain hands-on experience working with data analytics, artificial intelligence, and machine learning technologies. Interns typically assist in analyzing large datasets, developing AI models, and supporting business decision-making through data-driven insights. This role allows individuals to apply theoretical knowledge in real-world scenarios while working under the guidance of experienced professionals. Such internships are valuable for building practical skills and preparing for a career in data science or AI-related fields.

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

To thrive in an Internship Applied Intelligence role, you typically need strong analytical thinking, problem-solving abilities, and a background in data science, statistics, or computer science, often supported by ongoing or completed relevant education. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is commonly required. Strong communication, teamwork, and adaptability help interns effectively present insights and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful patterns from complex data and contributing valuable recommendations to business decisions.
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Internship Applied Intelligence jobs near you
Infographic showing various Internship Applied Intelligence job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 68% Full Time, 19% Part Time, 1% Temporary, and 11% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Associate Software & AI Engineer

Associate Software & AI Engineer

Virginia Tech Applied Research Corporation

Arlington, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Virginia Tech Applied Research Corporation (VT-ARC) is a technical services and applied research company dedicated to solving complex problems. They are seeking an Associate Software & AI Engineer to support full-stack software development and AI-enabled analysis capabilities for federal and defense-oriented clients.
Responsibilities:
• Build and maintain full-stack web applications from concept through production for federal clients within Agile, cross-functional teams.
• Develop reusable front-end interfaces, components, and workflows using React, Angular, or comparable modern web frameworks to improve consistency, usability, and implementation efficiency.
• Implement and maintain RESTful APIs and backend services using technologies such as Python, Node.js, Flask, FastAPI, SQL, and PostgreSQL.
• Integrate application logic, databases, user interfaces, and external services into reliable, maintainable software products.
• Contribute to LLM-powered analysis capabilities that help users explore, interpret, and analyze federal wargaming, simulation, mission, or operational data.
• Support full-stack mission engineering applications that digitize, automate, and improve mission planning and analysis workflows.
• Configure, maintain, and troubleshoot CI/CD pipelines, deployment workflows, and cloud services across environments such as AWS, AWS GovCloud, Azure, or GCP.
• Use Git-based version control, branching, pull requests, code reviews, and repository management practices to support team collaboration and software quality.
• Participate in Agile ceremonies, requirements discussions, design reviews, sprint planning, demos, and technical integration activities.
• Write and maintain technical documentation, implementation notes, API documentation, user workflow descriptions, and operational support materials.
• Support software testing, debugging, performance tuning, security-minded development, cloud cost awareness, and production sustainment activities.
• Stay current with emerging software engineering, AI, cloud, and DevOps tools, and share relevant lessons learned with teammates through technical discussions or presentations.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Science, or a related technical field.
• 2+ years of software engineering experience, including professional, internship, applied research, academic, or equivalent project experience.
• Experience developing full-stack applications using modern frameworks such as React, Angular, or comparable web technologies.
• Experience with JavaScript or TypeScript and front-end development concepts, including component-based development, state management, HTML, CSS, and responsive interface implementation.
• Knowledge of backend development using Python, Node.js, SQL, RESTful APIs, and relational databases such as PostgreSQL.
• Knowledge of software design patterns, application architecture, API design, testing practices, technical documentation, and production software delivery.
• Knowledge of cloud platforms such as AWS, Azure, or GCP, including basic deployment, service usage, monitoring, and cost-aware engineering practices.
• Familiarity with Git-based version control, branching strategies, pull requests, code reviews, and collaborative repository management.
• Ability to work effectively in Agile, cross-functional teams with engineers, program staff, technical leads, and mission stakeholders.
• Strong problem-solving, communication, documentation, and learning skills, with the ability to take ownership of assigned development tasks and deliver high-quality work.
Preferred:
• Experience building AI-assisted or LLM-powered applications using LLM SDKs, APIs, prompt engineering, retrieval workflows, or analytics interfaces.
• Experience supporting federal, defense, mission engineering, wargaming, simulation, or DoD data analysis projects.
• Experience with AWS GovCloud, Docker, CI/CD tooling, GitHub Actions, infrastructure deployment workflows, or cloud service configuration.
• Experience with Flask, FastAPI, Node.js, Rails, PostgreSQL, Redis, or comparable backend and database technologies.
• Experience with React ecosystem tools such as Redux, Recoil, React Native, Jest, React Testing Library, SASS, or comparable technologies.
• Experience with data visualization or reporting tools such as Tableau, Power BI, Matplotlib, or similar tools.
• AWS Cloud Practitioner, Security+, or equivalent cloud, software, or cybersecurity certification.
• Familiarity with RMF, ATO documentation, STIG compliance, secure software development practices, or federal cybersecurity compliance activities.
• Interest in improving team engineering practices through documentation, code review, technical talks, reusable components, and standardized development workflows.
Company:
Virginia Tech Applied Research Corporation is a firm that deals with IT, technical ,machine learning and other services. Founded in 2010, the company is headquartered in Arlington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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