Company profile

Snorkel AI Tech Stack

AI data lab building training data, evals and RL environments for frontier AI

Software Development Redwood City, California 201–500 employees Founded 2019 Privately Held

Snorkel AI builds datasets, benchmarks and evaluation environments that AI labs and enterprises use to post-train and test models. Its stack spans PyTorch, TensorFlow and TPUs across AWS, GCP and Azure, while Redshift, Zapier, Google Apps Script and AppSheet are being phased out, pointing to consolidation onto Snowflake and Prefect. Hiring skews toward senior engineering, data and research talent focused on synthetic data and agent infrastructure.

Tech Stack 66 technologies

Core StackPython NumPy scikit-learn Pandas PyTorch TensorFlow AWS React TypeScript Tailwind CSS Redux Node.js CircleCI Kubernetes Snowflake Okta Auth0 Intune Slack Greenhouse PostgreSQL Redshift Prefect GCP TPU Buildkite AWS KMS Jamf Notion Azure+34 more

AdoptingAuth0

ReplacingRedshift Zapier Google Apps Script AppSheet

What Snorkel AI Is BuildingChallenges and projects from their job posts

◆Challenges

Model performance and data evaluation gaps
Scaling AI workloads
Turning expert knowledge into specialized AI
Disconnected infrastructure roadmaps
Competitive product talent market, thin product leadership

▲Active Projects

Synthetic data generation
Agent infrastructure design
LLM-as-a-judge prototype
Deploying generative AI solutions for customers
Expert contributor quality recommendation system
Evaluation, data valuation and model failure analysis

Hiring Activity

Decelerating80 roles · 15 in 30d

Department

Engineering

Data

Research

Ops

Product

Security

Legal

Seniority

Senior

Mid

Director

Manager

Staff

Lead

Principal

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About Snorkel AI

Snorkel AI is a privately held company founded in 2019 out of the Stanford AI Lab and headquartered in Redwood City, California. It combines platform technology with research-led data work to produce expert data, preference data, RL environments and benchmarks for supervised fine-tuning and RLHF. Customers include AI labs and enterprises building frontier and agentic systems. The company employs 201–500 people and hires in the United States across engineering, data, research, security, product and operations.

HeadquartersRedwood City, California

Company Size201–500 employees

Founded2019

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Snorkel AI use?

Snorkel AI runs Python, PyTorch, TensorFlow, scikit-learn and Pandas on AWS, GCP, Azure and TPUs, with React and TypeScript on the front end, Kubernetes, CircleCI, Buildkite, Snowflake, PostgreSQL and Prefect.

What is Snorkel AI working on?

Job posts point to synthetic data generation, agent infrastructure design, an LLM-as-a-judge prototype, an expert contributor quality recommendation system and generative AI deployments for customers.

Where is Snorkel AI headquartered?

Snorkel AI is headquartered in Redwood City, California, and currently hires in the United States, with a mix weighted toward senior engineering, data and research roles.

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How this profile is built

Snorkel AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.