Snorkel AI
Data AI · Data-centric ML
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.
Currently tracking 13 active AI roles, down 23% versus the prior 4 weeks. Primary focus: Data · Research. Salary range $150k–$350k (avg $246k).
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.
| 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 |
| Head of Technical Recruiting Head of Technical Recruiting to build and lead the technical recruiting engine for Snorkel AI's next stage of growth. This leader will own the strategy, team, operating model, and execution required to hire exceptional talent across Engineering, Research, Product, Forward Deployed Engineering, and Applied AI Engineering. The role requires experience building and scaling technical recruiting teams in hyper-growth startup environments, with a strong understanding of the AI/ML talent market. | — | 5 |
| Head of TA Operations & Insights This role is for a Head of Talent Acquisition Operations & Insights at Snorkel AI, a company focused on helping enterprises build custom AI with their data. The position involves building and leading the TA operations function, including systems, processes, tools, metrics, and operational infrastructure. The ideal candidate will have experience in hyper-growth technical startups, strong operational discipline, deep knowledge of recruiting systems, and a forward-looking perspective on using AI to modernize talent acquisition. Responsibilities include owning the recruiting tech stack, modernizing TA operations, leading recruiting coordination, designing end-to-end recruiting processes, developing TA metrics and insights, and partnering with various stakeholders. The role also involves evaluating and implementing AI-enabled recruiting tools and workflows. | — | 5 |
| Head of Data Quality Snorkel AI is seeking a Head of Data Quality to build and own the quality system for their Data-as-a-Service business. This role involves designing the end-to-end quality architecture for a digital data factory that produces customer-specific datasets at scale, working with human contributors and evolving specifications. The position starts as a Principal IC and is expected to grow into a people-management track, focusing on establishing strategy, standards, processes, metrics, and governance for data quality. | Data | 5 |
| Staff Software Engineer - Core Services Staff Software Engineer for Core Services at Snorkel AI, focusing on building and maintaining the data platform that powers the company's AI solutions. This role involves designing event-driven data flows, implementing data governance and lineage tracking, instrumenting the platform for observability, and optimizing infrastructure costs. The engineer will also contribute to modernizing CI/CD and integrating AI SRE tooling, shaping the AI-native development workflow. | — | 5 |
| Senior Software Engineer - Expert Contributor Lifecycle Senior Backend Engineer at Snorkel AI responsible for building and maintaining the Expert Contributor (EC) Platform, which enables domain experts to provide high-signal data for training and refining AI models. The role involves designing and developing mission-critical systems for the EC lifecycle, including onboarding, performance management, and integrations with third-party services. Focus on automating supply and allocation logic for a high volume of ECs and managing data user pipelines. | Data | 5 |
| Infrastructure Security Engineer Security Engineer to enhance Snorkel's security posture across cloud infrastructure, developer platform, and product ecosystem. Responsibilities include securing cloud environments, building security automation, guiding cross-functional initiatives, and embedding security into engineering workflows. The role involves working across infrastructure, platform, product, and application teams to ensure secure scaling and compliance in cloud-native environments. Requires strong fundamentals in cloud security and motivation to grow. | — | 5 |
| Manager, Technical Delivery This role is for a Manager, Technical Delivery at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale. The manager will lead and scale a team of Technical Delivery Managers (TDMs), overseeing complex customer projects, driving operational excellence, and collaborating cross-functionally. The role requires experience in technical delivery, people management, and a strong understanding of data systems, analytics, or AI/ML concepts. | — | 5 |
| Accounting Manager, Technical Accounting & Financial Reporting Seeking an Accounting Manager, Technical Accounting & Financial Reporting to build and scale Snorkel's accounting organization. Responsibilities include owning key areas of the monthly close, preparing technical accounting analyses, supporting financial statement audits, and establishing scalable accounting processes and internal controls. The role requires strong technical accounting expertise under U.S. GAAP and experience in a fast-paced startup environment. | — | 0 |