Top Remote Artificial Intelligence Data Engineering Jobs in San Francisco, CA

The Data Infrastructure Engineer will centralize data capabilities, improve data pipeline architecture, and ensure efficient data access across teams while optimizing GCP usage.

The Research Engineer will design and build evaluation systems to measure data quality for Firecrawl's web data extraction, creating metrics and benchmarks, and collaborating on model improvements.

As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.

Lead the development and validation of TRAM, an AI-driven tax engine. Oversee tax-related processes, collaborate with teams, and ensure accuracy in automated tax compliance.

The Research Engineer will advance decentralized AI by optimizing distributed training, developing open-source tools, publishing research, and enhancing platform capabilities.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

The Senior Data Engineer will design, build, and operate data pipelines, ensuring reliability and quality, while collaborating with cross-functional teams.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

The Founding Platform/Infra Engineer will design and manage infrastructure, improve system observability and CI/CD processes, enhance security, and boost developer efficiency at Coverbase.