Scale AI

1 month ago

AI Builder Intern

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join Scale AI as an AI Builder Intern to design and ship AI-powered tooling and agentic workflows. You’ll work with engineers, data scientists, and ops leads on live automation initiatives, using LLM tooling to build internal products, dashboards, and multi-agent architectures that drive real business impact.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•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 quickly; ship working features, then improve them.
•Develop lightweight internal tools and dashboards that surface AI outputs to business teams; create functional UIs (React/JS) for internal adoption.
•Instrument your work and contribute to ROI measurement by tagging projects to defined value categories.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendCommuter BenefitsPaid Leave

Key Requirements

•Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and demonstrated builds that use them
•Proficiency in Python and/or JavaScript, with ability to read/write production-quality code
•Familiarity with at least one agentic or automation framework (LangChain, AutoGen, n8n, Zapier + LLM, etc.)
•Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or related field
•Strong product instincts and ability to move fast with deliberate iteration

Experience:AIData scienceTechnology

Skills:CommunicationProblem-solvingCollaborationAdaptabilityCuriosity

Languages:English

Tech Stack:LangChainLangGraphCrewAIPythonJavaScriptReactAPIsSlackSalesforceNotion

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Scale AI

1 month ago

AI Builder Intern

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•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 quickly; ship working features, then improve them.
•Develop lightweight internal tools and dashboards that surface AI outputs to business teams; create functional UIs (React/JS) for internal adoption.
•Instrument your work and contribute to ROI measurement by tagging projects to defined value categories.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendCommuter BenefitsPaid Leave

Key Requirements

•Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and demonstrated builds that use them
•Proficiency in Python and/or JavaScript, with ability to read/write production-quality code
•Familiarity with at least one agentic or automation framework (LangChain, AutoGen, n8n, Zapier + LLM, etc.)
•Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or related field
•Strong product instincts and ability to move fast with deliberate iteration

Experience:AIData scienceTechnology

Skills:CommunicationProblem-solvingCollaborationAdaptabilityCuriosity

Languages:English

Tech Stack:LangChainLangGraphCrewAIPythonJavaScriptReactAPIsSlackSalesforceNotion

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn