Information Technology - AI Internship - summer 2027

Springs Window FashionsMiddleton, WI
Onsite

About The Position

Springs Window Fashions is looking for a motivated and hardworking individual to join our Information Technology Team! This Intern would help build a repeatable system for measuring whether Springs' AI powered features are correct, and for catching quality regressions when the underlying model or prompt changes. This internship provides an exciting opportunity to assist the team with project support while providing valuable work experience related to your chosen field of study. Our paid internship program is known for having in-depth, challenging project work with cross-functional teams, as well as professional development, job shadowing and other growth opportunities.

Requirements

  • Pursuing a 4-year degree in Computer Science, Data Science, Information Systems, or a related technical field; Junior or Senior standing preferred
  • Previous internship or coursework involving data handling, scripting, or software development preferred
  • Working proficiency in Python (or a comparable scripting language) for building test cases and automation — this project is data/scripting-heavy, not a specialized ML role
  • Familiarity with, or willingness to quickly learn, SQL and basic data analysis concepts
  • Proficient computer skills, including Microsoft Office
  • Strong problem-solving and structured, methodical thinking — the core of this role is designing test cases that actually catch failures, not just writing code
  • Excellent written and verbal communication skills, including comfort conducting structured interviews with non-technical Associates to extract precise workflow requirements — this is roughly 60% of the actual work and the top screening priority
  • Comfortable with ambiguity and an iterative, build-as-you-learn scope, rather than a fully pre-specified task list
  • Interest in AI/ML applications is a plus; prior AI/ML coursework is not required
  • Positive attitude, high attention to detail, and eagerness to learn Springs' business processes

Nice To Haves

  • Interest in AI/ML applications is a plus; prior AI/ML coursework is not required

Responsibilities

  • AI Feature Validation Harness
  • Golden test sets (100–300 expert-reviewed cases per feature)
  • Scoring logic (deterministic checks + calibrated model-as-judge + human spot-check)
  • On-demand test runner, triggered manually or on model/prompt change
  • Trend dashboard (pass rate by category, over time, diff between runs)
  • Playbook for adding features and setting release gates
  • Named permanent owner and one live workflow gated by the suite

Benefits

  • Newly renovated corporate headquarters (including on-site fitness center)
  • Exposure to other roles and functions within SWF
  • Career advancement opportunities
  • Regular interaction with multiple functional areas and with others at all levels within the organization, from production to senior leadership
  • Paid on-the-job training; in-depth product knowledge sessions via online courses, live online classes, and live sessions
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