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TruStage

IT Internship – Innovation, AI Technology

TruStage

. Research, evaluate, and document emerging AI technologies, tools, and industry trends .

Posted 11/3/2026part-timeMadison • Wisconsin • United StatesEntry Level💰 $18 - $28 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical and problem-solving skills while supporting AI initiatives, including Generative AI and machine learning. Proficient in data collection, analysis, and documentation, with a solid understanding of responsible AI practices and emerging technologies.

Highest-signal resume keywords
Generative AIMachine LearningData AnalyticsPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisPrompt EngineeringSoftware DevelopmentAutomationCritical Thinking
Soft Skills
Verbal CommunicationWritten CommunicationInterpersonal SkillsAdaptabilityIntellectual Curiosity
Tools & Technologies
Microsoft CopilotAzure AI ServicesAzure OpenAI ServicePower PlatformGit/GitHub
Industry Keywords
Artificial IntelligenceResponsible AIData PrivacyCybersecurityDigital Transformation

Tech Stack

Tools & technologies
AzureCloudCyber SecurityJavaScriptPythonSQL

About the role

Key responsibilities & impact
  • Research, evaluate, and document emerging AI technologies, tools, and industry trends
  • Assist in developing, testing, and implementing AI-powered solutions, automations, and business process improvements
  • Support Generative AI initiatives through prompt development, experimentation, testing, and optimization
  • Assist with data collection, preparation, validation, and analysis for AI and analytics projects
  • Create and maintain documentation, user guides, knowledge articles, and project materials
  • Collaborate with technical and business stakeholders to gather requirements and identify AI adoption opportunities
  • Support proof-of-concept projects involving AI, machine learning, automation, or intelligent assistants
  • Evaluate AI outputs for quality, accuracy, usability, and business value
  • Participate in project meetings, brainstorming sessions, and innovation workshops
  • Communicate project updates, findings, recommendations, and technical concepts to team members and stakeholders
  • Follow IT, cybersecurity, data privacy, and responsible AI practices and standards

Requirements

What you’ll need
  • Currently pursuing an associate’s degree or higher in Information Technology, Computer Science, Data Science, Information Systems, Engineering, Business Analytics, or a related field
  • Expected graduation date of December 2027 or later
  • Must not now or in the future require company sponsorship for an immigration-related employment benefit
  • Strong analytical, critical thinking, problem-solving, and decision-making skills
  • Excellent verbal and written communication skills
  • Demonstrated interpersonal and customer service skills
  • Ability to learn quickly and adapt to new technologies and business needs
  • Intellectual curiosity and a strong desire to explore emerging technologies and innovation
  • Strong interest in Artificial Intelligence, Generative AI, machine learning, automation, and digital transformation
  • Experience through coursework, personal projects, hackathons, research, or internships in Generative AI, prompt engineering, Retrieval-Augmented Generation, machine learning, data analytics and visualization, or software development
  • Familiarity with Python, SQL, JavaScript, or other programming languages
  • Exposure to Microsoft Copilot, Azure AI Services, Azure OpenAI Service, Power Platform, or Power Automate
  • Familiarity with Git/GitHub, APIs, cloud platforms, preferably Azure, and modern development practices
  • Understanding of data privacy, security, and responsible AI concepts
  • Resume required to apply

Benefits

Comp & perks
  • Flexible workplace supporting work-life balance
  • Career growth
  • Retirement assistance
  • Medical coverage
  • Employee assistance program
  • 401(k) plan
  • Flexibility to work in a preferred location
  • Application or interview process accommodations