Data-Centric AI Research Scientist — Remote

Snorkel AI; United States; Remote; USD 200,000 - 375,000; Full time

Job summary

Snorkel AI seeks a Research Scientist in the United States to advance how high-quality data and environments for AI agents are created. You will build and optimize pipelines that combine real-world data, automated generation, and human expert input to scale frontier model performance.

Collaborating with domain experts, customers, and product and engineering teams, you’ll translate research into reusable, scalable systems and contribute to Snorkel’s data-centric AI roadmap.

Qualifications

• Strong research background in AI, ML, NLP, or related fields.
• Experience designing and evaluating new methods for AI.
• Ability to translate research into scalable production workflows.
• Experience collaborating with domain experts and customers.

Responsibilities

• Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation.
• Design and run rigorous experiments to validate approaches and measure impact on data quality and model performance.
• Partner with engineering, data operations, domain experts, and customers to turn research prototypes into production workflows.
• Work with domain experts to design and test workflows to author, review, and refine data and environments.
• Collaborate cross-functionally to surface research findings that inform the company roadmap.
• Stay at the frontier of research in data and agentic environments and bring best practices into Snorkel’s workflows.
• Represent Snorkel’s research externally through publications, blog posts, talks, and customer engagements.

Skills

Research AI

ML/NLP

Experimental design

Collaboration

Software engineering

Publication/communication

Education

PhD in ML/NLP

Tools

Python

PyTorch

TensorFlow

Reinforcement learning

Job description

Snorkel AI seeks a Research Scientist in the United States to advance how high-quality data and environments for AI agents are created. You will build and optimize pipelines that combine real-world data, automated generation, and human expert input to scale frontier model performance.

Collaborating with domain experts, customers, and product and engineering teams, you’ll translate research into reusable, scalable systems and contribute to Snorkel’s data-centric AI roadmap.