Artificial Intelligence Intern

AmericanAg®•Schaumburg, IL
•$0 - $30•Onsite

About The Position

AmericanAg is seeking an IT – Artificial Intelligence Intern to join its Information Technology team next summer at its Schaumburg, Illinois office. The internship provides hands-on experience applying artificial intelligence, automation, and data analysis in a professional business environment. It is intended for students who will be between their junior and senior years of college and are interested in AI, emerging technology, and practical business applications. The intern will contribute to AI, automation, and emerging-technology projects; explore business uses for generative AI and large language models; identify workflows that could benefit from technology or improved data analysis; and assist with AI prototypes and proof-of-concept solutions. The role also involves working with structured and unstructured data, documenting requirements and findings, collaborating with IT and business teams, presenting project recommendations to members of the ELT, and supporting other IT initiatives. The internship offers training, mentorship, professional development, and opportunities to work on meaningful projects with technical and business teams. Compensation is $30.00 per hour based on a 37.5-hour work week, plus a one-time $500 sign-on bonus. The schedule is flexible, with the option to work 8.33 hours per day.

Requirements

  • Currently pursuing a bachelor's degree in computer science, information systems, data science, artificial intelligence, or a related field.
  • Expected to be between the junior and senior years of college during the internship.
  • Coursework or hands-on experience in artificial intelligence, machine learning, data analytics, programming, or automation.
  • Strong problem-solving, analytical, and critical-thinking skills.
  • Interest in generative AI, machine learning, automation, and emerging technologies.
  • Microsoft 365 skills, including PowerPoint, Word, and Excel.
  • Effective written and oral communication skills.
  • Ability to handle multiple projects simultaneously in an organized manner.
  • Ability to collaborate across technical and business teams.

Nice To Haves

  • Experience with Power BI, Microsoft Azure, Microsoft Copilot, Git/GitHub, APIs, data visualization, or AI and machine-learning tools.
  • Familiarity with responsible AI, data privacy, or information security concepts.
  • Relevant coursework may include artificial intelligence or machine learning; Artificial Intelligence GRC; data science, data analytics, or business analytics; database management or SQL; applied statistics or probability; data structures and algorithms; or cloud computing or information systems.

Responsibilities

  • Assist the IT team with projects involving artificial intelligence, automation, and emerging technologies.
  • Research practical business applications of generative AI and large language models.
  • Help identify processes and workflows that may benefit from AI, automation, or improved data analysis.
  • Assist with developing, testing, and evaluating AI-focused prototypes or proof-of-concept solutions.
  • Work with structured and unstructured data to support analysis, reporting, and AI initiatives.
  • Document project requirements, testing results, findings, and recommendations.
  • Collaborate with IT and other departments to understand business needs and translate them into potential technology solutions.
  • Present internship project findings and recommendations to members of the ELT.
  • Support day-to-day IT initiatives and other projects as assigned.

Benefits

  • Hands-on experience applying AI and emerging technologies to real-world business challenges.
  • Comprehensive training and the opportunity to contribute to meaningful IT and AI-focused projects.
  • Mentorship and professional development opportunities.
  • Experience collaborating with technical and business teams.
  • Collaborative and inclusive work environment.
  • Competitive hourly rate of $30.00 based on a 37.5-hour work week.
  • One-time $500 sign-on bonus.
  • Flexible work schedule with the option to work 8.33 hours per day.
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