AI Builder Intern
San Francisco, CA - USA
Job Summary
ABOUT THE ROLE
This isnt a research internship. You wont spend the summer writing reports or sitting in strategy meetings. Youll spend it building shipping AI-powered tools automating workflows and deploying agentic systems that real teams at Scale AI use every day.
Embedded in the Data & Technology org youll work directly alongside engineers data scientists and ops leads on live automation initiatives. If you have strong instincts for what AI can do today a bias for building over theorizing and a fluency in modern LLM tooling this role is for you.
WHAT YOULL BUILD
Agentic Workflows & Automation
Design and deploy multi-step agentic workflows using LLM-integrated frameworks (LangChain LangGraph CrewAI or similar)
Build API-connected automations that tie together internal tools Slack Salesforce Notion and internal data systems
Prototype and iterate fast; build things that work then make them better
AI Tooling & Internal Products
Develop lightweight internal tools and dashboards that surface AI outputs to business teams
Vibe-code functional UIs React plain JS or whatever gets to working fastest for internal adoption
Identify friction points in current workflows and propose AI-first replacements
Measurement & Signal
Instrument your own work capture usage signals time-saved estimates and adoption metrics from day one
Contribute to the orgs ROI measurement framework by tagging your projects to defined value categories
A NOTE ON VIBE CODING
Were not precious about how code gets written. Use Cursor Claude Copilot or whatever gets you from idea to working demo in hours not weeks. We care about judgment craft and what ships not keystroke attribution.
WHAT WERE LOOKING FOR
Hands-on experience with LLM APIs (OpenAI Anthropic etc.) youve built something real with them
Comfortable with Python and/or JavaScript; able to read and write production-quality code
Familiarity with at least one agentic or automation framework (LangChain AutoGen n8n Zapier LLM etc.)
Strong product instincts you think about who will use what you build and why it matters
Able to move fast without breaking things that matter; iterative scrappy but deliberate
Currently enrolled in an undergraduate or graduate program in CS data science engineering or related field
BONUS POINTS
Prior internship or project experience in a BizOps RevOps or enterprise automation context
Experience integrating Slack Salesforce or finance/ops systems via APIs
Youve built something with a multi-agent architecture even a side project counts
Familiarity with prompt engineering RAG pipelines or LLM evals
An active GitHub portfolio or side project that shows what you can do
WHY SCALE AI
Scale AI is building the data infrastructure behind the worlds most capable AI systems. As an AI Builder Intern on the Data & Technology team youll work inside one of the most AI-native organizations in the world deploying the same tools youre learning about in an environment where the stakes are real and the pace is fast.
Youll leave with production systems in your portfolio not decks. And youll work alongside people who think deeply about how AI transforms the way organizations actually run.
Compensation packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors including job-related skills experience qualifications interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. Youll also receive benefits including but not limited to: comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$74400 - $111600 USD
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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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 for additional information.
Required Experience:
Intern
About Company
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.