Snorkel AI
Data AI · Data-centric ML
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.
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.
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).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - AI / ML Senior AI/ML Engineer to join the AI Platform team, focusing on distributed systems, LLM infrastructure, synthetic data generation, and agentic orchestration. The role involves architecting the core platform, designing APIs and compute services, generating synthetic data, creating and evaluating agentic systems, provisioning RL training environments, deploying benchmarks and labeling pipelines, and running LLMs efficiently. | DataAgent | 8 |
| Head of Forward Deployed Engineering Lead a forward-deployed engineering team focused on building and delivering high-quality datasets for AI initiatives. This involves defining data quality, implementing workflows, enhancing human-in-the-loop techniques, and owning systems for scalable data delivery. The role sits at the intersection of data engineering, ML engineering, and customer engagement, requiring strong leadership and hands-on technical skills in LLM-based workflows. | DataPost-train | 8 |
| Senior Software Engineer - Expert Data Collection Platform Senior Full Stack Engineer to build and maintain an Expert Data Collection Platform that enables domain experts to provide high-signal data for training and refining AI models. The role involves end-to-end feature development, scalable service optimization, and user-focused interface design. | DataPost-train | 7 |
| Manager, Forward Deployed Engineering Manager for Forward Deployed Engineering (FDE) within the Data-as-a-Service (DaaS) organization. This role leads a team responsible for the technical execution of DaaS delivery, owning systems, workflows, and quality frameworks for high-quality dataset production at scale. Responsibilities include building and leading the FDE function, defining its operating model and roadmap, hiring and mentoring engineers, owning AI data pipelines (generation, evaluation, quality), driving ML-assisted and HITL workflows, establishing measurement and benchmarking systems, and developing internal tooling. The role requires strong hands-on technical depth in AI/ML/GenAI engineering, experience leading engineers, building/operating production ML/LLM workflows, proficiency in Python/SQL, and experience with evaluation frameworks. | DataEval Gate | 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 |
| Forward Deployed Engineer - Data as a Service Snorkel AI is seeking a Forward Deployed Engineer to work on AI/ML data products for enterprise clients. This role involves end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows, building HITL data generation and review processes, generating synthetic datasets, and packaging production-grade datasets. The engineer will also define production specifications, build evaluators, design quality measurement systems, and perform custom model benchmarking. | DataEval Gate | 7 |