Search the 31 jobs at Snorkel AI

The Technical Program Manager will develop technology and SOPs to reduce fraud risks, oversee workflows, conduct data analysis, collaborate with engineering on fraud detection tools, and manage relationships across teams to improve operational efficiency.

The Technical Program Manager for Fraud, Integrity, & Compliance will develop technology and systems to reduce fraud risks and increase operational efficiency. This role involves collaboration with engineering and cross-functional teams to implement fraud detection tools and manage relationships across the organization, while also providing updates on fraud mitigation initiatives and performance metrics.

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.

As an Expert Contributor, you will develop and review complex reasoning tasks for an AI benchmark, collaborating with a cohort to enhance dataset quality and achieve project milestones.

As a Forward Deployed ML Engineer, you will collaborate with the Ops team to customize and implement ML solutions for automating data processes, focusing on project-specific adjustments. Responsibilities include rapid prototyping, scripting, and working with machine learning pipelines using various tools and APIs.

As a Senior Software Engineer, you will improve the Snorkel AI developer platform for user and data management while mentoring junior engineers. Responsibilities include designing enterprise features, enhancing platform security, and collaborating with customers for high-quality solutions.

The Principal Software Engineer will shape product and technical systems, delivering major features, mentoring engineers, and aligning technical vision to meet today's AI challenges. The role involves close collaboration across teams to improve engineering practices and build custom AI solutions.

The Product Manager will drive the strategy and execution for Snorkel's AI data development platform, collaborating with cross-functional teams to address customer needs in the Data Science and Machine Learning domains. Responsibilities include product strategy, market analysis, and clear communication with stakeholders to ensure product success.