AI Builder Intern, Scale AI
$74.4-111.6k
+ Equity for eligible roles
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$74.4-111.6k
+ Equity for eligible roles
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) — you've 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
Desirable
- Prior internship or project experience in a BizOps, RevOps, or enterprise automation context
- Experience integrating Slack, Salesforce, or finance/ops systems via APIs
- You've 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
What the job involves
- This isn't a research internship. You won't spend the summer writing reports or sitting in strategy meetings. You'll 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, you'll 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
- 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 org's ROI measurement framework by tagging your projects to defined value categories
- We're 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
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. So, by positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
Salary benchmarks
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