Top Remote Artificial Intelligence Data & Analytics Jobs in Seattle, WA

The Data Services Integration Engineer automates data workflows, integrates systems using Microsoft Power Platform, and ensures data integrity through governance policies and documentation.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

The Head of Data Quality & Growth will own the quality and integrity of the company's food data, coordinate initiatives for data acquisition, and mobilize teams to fill gaps in data. This leadership role requires a blend of technical understanding and strategic oversight to enhance and maintain the company's comprehensive food database.

The AI engineer will develop and implement AI models, collaborate with teams, deploy applications, and ensure system performance and scalability.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The HubSpot Administrator will manage and optimize HubSpot CRM and Marketing Hubs, automate processes, integrate tools, and support sales and marketing teams.

The Senior Product Analyst will automate data collection, analyze product metrics, organize A/B tests, and support product hypothesis generation.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

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