Information Technology - AI Internship - summer 2027

Springs Window Fashions and Affiliated Companies; Town of Middleton (WI); On-site; USD 2,066,000 - 3,444,000; Part time

Benefits offered by this job

On-site fitness center

Exposure to multiple roles

Career advancement

Cross-functional interaction

On-the-job training

Job summary

Springs Window Fashions and Affiliated Companies in Middleton, WI, offers an Information Technology AI Internship for Summer 2027. You will support the team by building an AI feature validation harness and repeatable data-driven processes, gaining exposure to cross-functional roles within a fast-paced consumer products company.

The role requires pursuing a 4-year degree in CS/DS/IS, with strong Python and SQL skills, plus problem-solving and communication abilities.

Qualifications

• Working toward a 4-year degree in CS, Data Science, Information Systems or related field.
• Prior internship or coursework in data handling, scripting, or software development preferred.
• Proficient in Python for building test cases and automation; data heavy project.
• Familiar with SQL and basic data analysis concepts.

Responsibilities

• Build an AI feature validation harness with golden test sets.
• Create scoring logic with deterministic checks and human spot-checks.
• Develop on-demand test runner triggered by model changes.
• Develop a trend dashboard for pass rate by category and time.
• Create a playbook for adding features and setting release gates.
• Assign a named owner and maintain a live workflow gated by the suite.

Skills

Python proficiency

SQL basics

Data analysis

Communication skills

Problem-solving

Automation scripting

Education

Pursuing a 4-year degree in CS/DS/IS

Tools

Python

SQL

Microsoft Office

Job description

Description

Information Technology - AI Internship – Summer 2027

The Best Experience Company

Our tagline is “The Best Experience Company.” More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities.We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, ifyou’reexcited about thethought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!

Internship Overview

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.

Internship 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

WhatSpring’sBest ExperienceMeans for You

Springs Window Fashions offers incredible opportunities to develop the skills you’ll need to be successful in a fast-paced consumer products company. You’ll also be provided with several perks and benefits as a member of the Springs team:

• 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

Requirements

What We’re Looking For

• 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

How We Work to Deliver a Best Experience: Our Culture

• Our Core Value: We do the right thing, always
• Our Seven Cultural Behaviors
  • Empowerment - We trust our people.
  • Ownership - We take 100% responsibility for our roles actions, and results.
  • Leadership - We all lead by example and talk direct with respect (DWR).
  • One Team - We are One Springs Team.
  • Customer First -We consider our customers' needs before every decision.
  • Continuous Innovation - We are constantly learning, innovating, and improving.
  • Speed - We define priorities and operate with a sense of urgency and agility.