• Example Projects:
• Ship tools to accelerate the growth of new qualified contributors on Scale’s labeling platform
• Build methodical fraud-detection systems to remove bad actors and keep Scale’s contributor base safe and trusted.
• Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
• Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
• Build methods to automatically measure, train, and optimally match labelers to tasks based on performance
• Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks

Develop new AI infrastructure products to visualize, query, and explore Scale data

• A graduation date in Fall 2026 or Spring 2027 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating
• Previous Computer Science/Software Engineering Internship experience
• Track record of shipping high-quality products and features at scale
• Experience building systems that process large volumes of data
• Experience with Typescript, React, Python and/or MongoDB

Be available for a Summer 2026 (May/June start dates) internship

About Us:

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

• We comply with the United States Department of Labor's Pay Transparency provision .

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

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