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Expert Data. Unparalleled quality.
Accelerate the evaluation and development of frontier specialized AI models with a scalable, white-glove service that provides model development teams with high quality, expert data fast.
Speak with a Snorkel Expert
Built on unmatched domain expertise.
Snorkel doesn’t crowdsource. We build curated contributor teams made up of master’s and PhD-level professionals with deep experience in your domain—whether that’s oncology, aerospace, accounting, or AI ethics.
Each expert-created dataset is reviewed, validated, and refined through the Snorkel platform to meet enterprise standards for accuracy and consistency.
- Hand-selected experts with field credentials
- Multi-layer QA, including peer review and AI validation
- Full transparency and traceability throughout
SEM
Artificial Intelligence
Computer Science Software
Mathematics (Applied & Pure)
Physics (Classical & Modern)
Chemistry
Environmental Science
Electrical Engineering
Mechanical Engineering
Civil & Environmental Engineering
Chemical Engineering
Materials Science & Engineering
Aeronautics & Astronautics
Bioengineering
Biomedical Informatics
Developmental Biology
Biology
Genetics
Health & Medicine
Medicine
Psychology
Psychiatriy & Behavioral Sciences
Anesthesia
Pediatrics
Public Health
Nursing
Humanities & Arts
Art & Art History
Philosophy
Literature
Classics
Theater & Performance Studies
Music
Comparative Literature
History
Religious Studies
Social Sciences
Anthropology
Political Science
Sociology
Education
Economics (Macro & Micro)
Psychology
African & African American Studies
Linguistics
Communication
Business & Law
Business
Finance
Accounting US GAAP and GASB
Law US
Management Science & Engineering
We support complex data requirements
Snorkel supports a wide range of data modalities and output formats—designed to meet the demands of today’s most sophisticated AI systems.
Whether you're developing agentic workflows, fine-tuning multi-modal models, or evaluating complex reasoning, we create high-quality, structured datasets that match your system’s depth and complexity.
MODALITIES
Coding
Text
Images
Video
Mutli-lingual
Rich Text
OUTPUTS
Multi-Turn Dialogue
Multiple-Choice Q&A
Tool-Augmented Interaction Traces
Persona-Based Interactions
Chain-of-Thought Reasoning Traces
Open-Ended Q&A
Document-Grounded Q&A
Metadata Tagging
Multi-Point Rubric Generation
Accelerated data delivery
Our programmatic data development approach streamlines every step of the workflow. From structured expert review to automated validation, we combine expert insight with efficient, repeatable processes.
- Structured workflows guide expert contribution and peer review
- AI-assisted checks ensure consistency and catch errors early
- Data is iterated based on model failures—not static specs
This let’s us delivery high quality data faster than anyone else.
How Snorkel
Expert-data-as-a-Service works
Snorkel delivers expert data through a high-precision, managed workflow—combining domain-specific expertise with platform-enabled validation.
Scope the task
We define your target output formats, domains, and quality thresholds to guide sourcing and review.
Tap into our expert network
We activate pre-vetted experts from our curated network, selecting contributors with the specific domain knowledge needed for your use case.
Create and validate the data
Experts generate high-quality data tailored to your task. Every example is peer-reviewed and goes through multi-layered quality checks—including expert and AI-assisted validation—to ensure accuracy and consistency.
Deliver and iterate
We package, deliver, and integrate the data into your workflows—supporting iteration as model needs evolve.
Trusted by Leading AI Teams
We work with leading frontier model providers, Fortune 500s, and cutting-edge research labs, to build the next generation of models.
Agentic
Text Generation
Multi-step, multi-turn, and multi-tool Deep Research data
A leading LLM provider hired Snorkel AI to create a dataset to enhance its models’ deep research capabilities. Snorkel researchers assembled a dataset where each data point included a complex user query, a high-quality research plan, and a fine-grained response quality evaluation rubric.
10+
Average interactions between model and user
30+
Evaluation criteria developed per task on average
Text Generation
A PhD-level benchmark for frontier LLMs
A leading LLM developer sought a dataset of multiple-choice Q&A questions that stretched beyond the limits of frontier LLMs. Snorkel AI developed a dataset that probed for PhD-level understanding, covering thousands of topics across humanities, STEM, and professional domains.
<20%
Pass rate by two frontier LLMs
1,000+
PhD-level sub-domains
Agentic
AI Voice assistant training data for a tech industry giant
A tech industry giant aimed to build better, more usable voice assistants for its customers. We collaborated with them to build a deep, expert-crafted dataset of realistic multi-turn, multi-agent conversations, including simulated tool use.
3+
Tool calls per conversation, ~9+ turns
15+
Reasoning scenarios represented
Agentic
The frontiers of multi-turn math reasoning
Snorkel provided a frontier LLM team with a dataset to assess LLM math reasoning skills on high school to graduate-level challenges. Our data development approach saw experts correct responses and reasoning traces and allowed the customer to control distribution across topics, skills, and complexity.
0%
Pass rate for frontier LLMs
900
Mathematical skills
Featured Benchmarks
Exclusive to Snorkel, benchmarks like these are meticulously designed and validated by subject matter experts to probe frontier AI models on demanding, specialized tasks.
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See how snorkel can help you get up to:
100x
Faster Data Cuartion
40x
Faster Model Delivery
99%
Model Accuracy