Inactive
S

Scale AI

Supplies AI training data and builds AI apps

AI Deployment Strategist Intern

Data AnalysisPosted on Mar 25
Internship · Summer 2026New York, NY, USA$86.54 /hrIn-person

About the Job

Requirements

  • Currently pursuing an MBA or graduate degree with prior experience in consulting (MBB), banking, private equity, technology, or a related analytical field
  • Prior 4+ years of work experience in high-growth, high-ambiguity environments
  • A technical background (education or professional experience within computer science, economics, statistics, engineering or a STEM field)
  • Exposure to Generative Artificial Intelligence solutions via your current role or personal projects
  • A proven track record in building and expanding client relationships
  • Ability to understand core artificial intelligence and machine learning concepts and build great relationships with technical customers
  • Great cross-functional experience and collaborative ability
  • Excellent verbal and written communication skills
  • A track record of structured, analytics-driven problem solving
  • A history of diligence and organization across multiple work streams
  • An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results

Responsibilities

  • Support DSGs in managing relationships with enterprise customers and help ensure engagements run smoothly and deliver value
  • Support delivery across workstreams by helping track timelines, deployment milestones, and operational processes
  • Conduct research and analysis to help identify new opportunities within verticals and existing accounts that may drive business impact
  • Collaborate with Engineering, Product and Operations teams while supporting operational improvements and delivery processes
  • Prepare structured insights and executive-ready materials that help inform product strategy and enterprise delivery approaches
  • Help bring structure and clarity to complex projects through research, analysis, and structured deliverables
  • Conduct outside-in research to develop structured insights on enterprise industries and AI opportunities, producing briefs that support account strategy and go-to-market efforts

Desired Qualifications

  • Exposure to enterprise AI or data infrastructure products
  • Deeper industry knowledge in healthcare, consumer, financial services

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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