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AI Builder Intern

Scale AI - San Francisco, CA; New York, NY

Posted Jun 6, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
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Verification
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Salary
$74K-$112K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$61,842 U.S. median for this role
Projected growth (BLS Employment Projections)
+1.9% - Slower

50% above the BLS role benchmark for operations aggregate.

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Operations From the posting source checked Jun 20, 2026
Seniority
Entry From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Builder Intern San Francisco, CA; New York, NY ABOUT THE ROLE 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. ──────────────────────────────────────── WHAT YOU'LL 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 org's ROI measurement framework by tagging your projects to defined value categories ──────────────────────────────────────── A NOTE ON "VIBE CODING" We're not precious about

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