At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens.
Example Projects- Build reinforcement learning and post-training data pipelines that power frontier model development
- Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers
- Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy
- Ship tools that accelerate the growth of new qualified contributors on Scale's platform
- Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted
- Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale
- Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy
- Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks
- Develop new AI infrastructure products to visualize, query, and explore Scale data
- A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- Available for a Summer 2027 internship (May/June start dates) in San Francisco
- 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
- Experience building systems that process large volumes of data
- Experience with Python, Typescript, React, and/or MongoDB
- Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects
- Open source contributions or a portfolio of shipped side projects
Our credos shape how we make decisions and work as a team:
- Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve
- Team Flow — ideas, energy, and support move freely across teams; optimize for the whole
- Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage
- Find the 20% — find the inputs that drive the outcomes and execute them completely
- Write the Market — our research puts us at the frontier, and we bring our partners there first
- Three Moves Ahead — consider the consequences of consequences, and plan accordingly
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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.
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 [email protected]. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Skills Required
- Graduation in Fall 2027 or Spring 2028 with a Bachelor's degree or equivalent in Computer Science, EECS, Computer Engineering, Statistics, or a relevant field
- Availability for a Summer 2027 internship beginning in May or June in San Francisco
- Product engineering experience, including building full-stack web applications, integrating APIs and services, engaging with customers, and iterating on products
- Previous Computer Science or Software Engineering internship experience
- Track record of shipping high-quality products and features
- Experience building systems that process large volumes of data
- Experience with Python, TypeScript, React, and/or MongoDB
- Hands-on experience with LLMs, evaluations, or agentic systems
- Open source contributions or a portfolio of shipped side projects
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
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Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
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Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
