Snorkel AI
Data AI · Data-centric ML
Currently tracking 13 active AI roles, down 23% versus the prior 4 weeks. Primary focus: Data · Research. Salary range $150k–$350k (avg $246k).
Data AI · Data-centric ML
Snorkel AI currently has 16 active AI-related roles in our index. The most common open titles are: Director, Research - Evaluation & Training, Director, Research - Frontier Benchmarks, Forward Deployed Engineer - Data as a Service, Head of Data Quality, Head of Forward Deployed Engineering. Most positions are in Engineering and Research.
Snorkel AI's active AI hiring is concentrated in: data (75%), evaluation (19%), agents (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Snorkel AI is hiring AI talent in: United States (15 roles).
Job postings at Snorkel AI most frequently mention: Machine Learning, LLM Evaluation & Grading, Production ML Systems, Large Language Models (LLMs), Data Engineering.
In the past 30 days, Snorkel AI has posted 1 new AI-related role.
Snorkel AI currently has 16 active AI-related job listings. The majority of these roles, 75%, are focused on data, with evaluation roles making up 19% and agent roles representing 6%. Engineering is the most frequent function with 8 openings, followed by Research with 6. The United States is the primary hiring country, with 15 listings. Frequent tech tags include evals, synthetic_data, and fine_tuning, suggesting a focus on data generation and model refinement. Over the last 30 days, Snorkel AI posted 2 new AI roles, a 50% decrease compared to the previous 30-day period.
| Title | Stage | AI score |
|---|---|---|
| Senior Applied AI Engineer - Dubai Senior Applied AI Engineer to research and utilize state-of-the-art Gen AI and ML techniques to deliver solutions to customers, leveraging Snorkel Flow or developing custom approaches. Responsibilities include scoping, data exploration, model development, deployment, creating augmented datasets, evaluation workflows, and standardizing solutions into reusable recipes. | AgentData | 8 |
| Applied AI Engineer - Federal (TS Required) Applied AI Engineer at Snorkel AI, focusing on building and deploying Gen AI and ML solutions for customers, leveraging Snorkel Flow or custom approaches. Responsibilities include developing RAG, fine-tuning pipelines, prompt engineering, agentic workflows, creating datasets and evaluation workflows, and collaborating with customers and product teams. The role emphasizes bridging AI technology with business value and standardizing solutions into platform capabilities. | AgentData | 8 |
| Applied AI Engineer - AI Solutions Applied AI Engineer role focused on building and deploying Gen AI and ML solutions for enterprise customers, leveraging Snorkel Flow or custom approaches. Responsibilities include customer partnership, developing RAG, fine-tuning, prompt engineering, and agentic workflows, creating datasets and evaluation workflows, and standardizing solutions into reusable recipes and platform capabilities. The role emphasizes a data- and evaluation-first mindset and bridging the gap between AI technology and business value. | AgentData | 8 |
| Analytics Lead This role focuses on building and maintaining AI-first analytics infrastructure, including semantic layers, LLM tooling, evals, and agents, to empower teams within an enterprise. It involves defining ontologies, architecting models, and identifying high-leverage data opportunities. The role requires strong SQL, Python, and modern data stack experience, with a focus on high-autonomy and stakeholder partnership. | AgentData | 7 |
| Staff Applied AI Engineer - Pre-Sales Partner with Sales to lead technical discovery, solution scoping, and demo development for GenAI and ML solutions, translating customer needs into technical proposals and driving adoption of AI. | AgentData | 7 |