The Engineering Manager—Operations will lead and grow a team responsible for automation and tooling around data workflows and analytics. The role involves collaborating with operations, engineering, and product teams to implement systems that support company growth, providing mentorship, and fostering a strong engineering culture.

As a Principal UX/Front-end Engineer, you will own the front-end architecture, driving UX excellence and mentoring other engineers. Responsibilities include translating complex designs into reusable components, collaborating with cross-functional teams, ensuring best practices for accessibility and performance, and leading the front-end development efforts.

As an HR Business Partner at Snorkel, you will be a trusted partner providing support across various HR functions throughout the employee lifecycle, including performance management, employee inquiries, onboarding, and offboarding. You will collaborate with management to improve employee engagement and ensure effective HR operations.

As a Staff HR Business Partner at Snorkel AI, you will design and implement HR strategies to support organizational growth, collaborate with executives on workforce planning, and provide leadership coaching. You will develop compensation structures and ensure compliance for HR practices, while fostering a culture of improvement within the HR team.

The RVP - Enterprise Sales will lead the sales team in the Eastern U.S., focusing on recruiting and developing high-caliber account executives. Responsibilities include mentoring on product knowledge, driving pipeline generation, maintaining accountability for revenue targets, and collaborating with cross-functional teams. The RVP must demonstrate expertise in navigating complex enterprise environments and negotiating large deals.

The IT Engineer will handle complex IT support issues, perform triage on competing requests, contribute to process improvements, and mentor junior staff. They will also resolve technical issues, develop documentation, and drive automation initiatives within the IT environment.

As an IT Generalist, you'll support customer launches, manage IT operations, troubleshoot end user issues, handle IT asset management, and collaborate across departments, ensuring effective communication between headquarters and remote offices.

The Data Annotator role involves labeling and curating data to train and evaluate AI models, including annotating multimodal data and generating educational content. Candidates will work independently on task-based assignments while ensuring the accuracy and quality of their annotations.

The Software Engineer for AI Platform will design and implement AI pipelines, collaborate on backend services and APIs, monitor system performance, and lead advanced model development focusing on AI and LLM methodologies. This role is open to both entry-level and senior engineers, offering opportunities to innovate within AI domains.

As a Compute Platform Engineer, you will develop orchestration tools for workflows, manage scalable infrastructure, and enhance MLOps practices. Responsibilities include backend development, building CI/CD pipelines, and implementing observability tools while collaborating with various teams to ensure effective integration and performance optimization.

As an Expert Contributor, you will be responsible for creating, curating, and reviewing reasoning tasks to develop high-quality datasets for AI models, specifically in the field of Mathematics. This role requires generating field-specific multiple-choice questions and collaborating in a cohort to achieve project milestones, all while working flexibly and remotely.

The Staff AI Platform Engineer will lead the design and development of AI pipelines, ensuring they are scalable and robust. Responsibilities include mentoring team members, architecting AI solutions utilizing large language models, developing MLFlow pipelines, and collaborating across teams to integrate backend services and optimally monitor system performance.

As a Staff Compute Platform Engineer, you will lead the architecture of scalable compute solutions, drive MLOps best practices, and improve SDK maintainability. Your role includes mentoring engineers, collaborating on infrastructure design, and optimizing compute workflows. You'll also establish observability for performance tracking and advocate for innovative solutions within the team.

As a Research Engineer, you will innovate and translate cutting-edge research into user experiences, prototype workflows, and collaborate with design partners to validate real-world use cases. Your role involves empirical demonstration of data-centric model iteration and contributing to novel research in machine learning, particularly in computer vision and multimodal data.

The role involves creating, curating, and reviewing reasoning tasks for AI development. Contributors will generate field-specific multiple-choice questions and answers, engaging in collaborative learning sessions to advance AI models and data quality.

As a Data Annotator - Geophysics Contributor, you will curate, review, and generate field-specific multiple-choice questions to enhance AI methodologies. Your role involves collaborating with a team to produce high-quality datasets, contributing about 5 hours a week in a flexible, remote environment.

As a Data Annotator - Genetics Expert Contributor, you will create and review field-specific multiple-choice questions for AI models, focusing on high-quality data annotation to enhance AI reasoning capabilities. This role is task-based and allows flexibility in hours worked, aiming for ~5 hours weekly.

As a Data Annotator in Finance, you will generate and curate field-specific multiple-choice questions to assist AI models with labeled data accuracy. You will collaborate with a cohort of experts, actively engaging in tasks for a groundbreaking AI benchmark while working flexibly and remotely.

The Expert Contributor will generate, curate, and review reasoning tasks for AI datasets, focusing on creating field-specific multiple-choice questions to support AI models. Contributors will work flexibly, collaborating in a cohort environment and engaging in live learning sessions while achieving project milestones.

As an Expert Contributor at Snorkel, you will create, curate, and review reasoning tasks to develop high-quality datasets for AI models. Your role involves generating field-specific multiple-choice questions and collaborating within a cohort environment to advance AI technologies. The position allows for self-paced, flexible work hours.