Goodwill of Western Missouri and Eastern Kansas

Computer Vision Machine Learning (CVML) Internship

Job Location US-MO-Kansas City
# of Openings



The force of technology is changing the landscape of our workforce. This has generated a skills gap – the gap between the skills that workers have and the ones that they need. As companies adopt technologies like automation, robotics, and Artificial Intelligence, there is a need to reskill and upskill the existing workforce. There is no better time to learn about skills like data annotation.


This internship will provide interested students with such an opportunity. Students will get an introduction to the 4th Industrial Revolution and support the training of a computer vision machine learning neural network. Students will develop skills in labeling content, creating data, and using web-based annotation tools. Each intern will be a part of revolutionary emerging technology that is critical to leading the industries of the future, and improving lives, livelihoods, and productivity.


Goodwill is conducting a visionary project to determine whether computer vision machine learning can accurately identify a clothing item’s size, type, fabric composition, and quality. This unique model will improve Goodwill’s retail operations by getting higher quality products out to sell, increasing sell through rate, and raising more funds for our mission. This work could potentially scale to the more than 3,200 retail locations in the Goodwill network.


This internship will take place between May 31st and August 6th. Each intern is expected to work 30 hours per week and maintain productivity levels of 1 annotation per minute, minimum.


Essential Functions

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   

  • Utilize your web browser to view images of clothing.
  • Identify and mark defects on garments, such as stains, rips, etc.
  • Confirm all sourced clothing items meet parameters of the project.
  • Maintain speed and accuracy to hit the project deadline.
  • Review quality control information and accept feedback in order to continuously improve speed and accuracy.
  • Provide feedback on the image capture process and annotation system toward maximized process efficiency and minimized error rate.

Work Environment

This opportunity operates remotely and requires the proper computer or laptop devices and computer proficiency to perform these tasks. Speed and attention to detail are essential.


Training and Orientation

Virtual training and orientation will be provided.




  • Must have personal computer or laptop
  • Must have basic computer literacy skills
  • Must be able to set computer to highest screen resolution
  • Must have reliable internet service and consistent connectivity
  • Good communication skills
  • Detail oriented
  • Ability to maintain confidentiality
  • Interest in learning new things/curiosity!


Goodwill of Western Missouri & Eastern Kansas has a rich, 125 year+ history. Everyone knows Goodwill for our thrift stores, but few know what Goodwill is really all about. The sale of unwanted items provides funds that stay local, helping us to support thousands of job seekers with barriers to employment. We believe in the Power of Work and are committed to helping people earn and keep jobs in the community. That’s why 88¢ of every dollar Goodwill spends goes directly into our mission, not into shareholders’ pockets.


Our agency is evolving. We’re looking for new leaders and team members who want more than just a job.


Visit to learn more about our agency.


Goodwill of Western Missouri & Eastern Kansas provides equal employment opportunities to all employees and applicants without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, age, disability or genetic information, and encourages people of all backgrounds to apply for available positions.  Individuals needing accommodations to complete an application may contact Human Resources at 816.842.7425.



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