Top Remote Artificial Intelligence Data & Analytics Jobs

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Designs and maintains production data pipelines, models claims and operational data, and improves reliability through testing, monitoring, and alerting. Owns workflow troubleshooting, backfills, performance optimization, documentation, access controls, and CI/CD practices. Partners with business and technical teams to define requirements and deliver trusted datasets using SQL, Python, cloud data warehouses, and orchestration tools.

Administer and support SQL Server and cloud databases for a tolling engineering and operations team. Responsibilities include monitoring availability, troubleshooting database and application issues, tuning SQL, managing installations, upgrades, patches, migrations, clustering, and high-availability configurations. The role also supports data modeling, scripting, process improvements, and application/help desk activities while collaborating with engineering and operations professionals.

Create and maintain SOPs, user guides, knowledge base articles, and technical documentation for an enterprise AI platform and data-governance program. Produce recurring reports, organize source-of-truth materials, simplify complex information, and ensure documentation meets Section 508 and plain-language standards. The role requires strong writing, editing, reporting, and documentation skills while supporting a federal agency client.

Administer and support SQL Server and cloud databases for VDOT’s tolling group. Responsibilities include monitoring uptime, troubleshooting connectivity and application issues, tuning SQL, installing and upgrading clustered SQL Server environments, patching and migrating databases, refining database processes, and supporting Azure or other cloud databases. The role also includes help desk and application support rotations, data modeling, scripting, documentation, and collaboration with engineering and operations teams.

Design and operate production-grade data pipelines, backend services, APIs, and agentic AI workflows. Build scalable systems that ingest, transform, and operationalize data for customer-facing and internal applications. Translate ambiguous operational workflows into reliable architectures, improve service observability and performance, and own technical decisions across data modeling, system design, security, and compliance.

Lead GTM analytics across performance measurement, channel economics, data governance, forecasting, planning, and executive reporting. Own metric definitions, data standards, analytical priorities, and business requirements while partnering with Marketing, Data Science, Finance, RevOps, and Engineering. Analyze funnel, attribution, CAC, payback, conversion, retention, pipeline, and territory performance, translating findings into investment recommendations and strategic decisions for senior leadership.

Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise.

The role involves administering Salesforce, developing automations with Flows and Apex, and maintaining data pipelines to support revenue operations at ElevenLabs.

Conduct semiconductor industry research, maintain component and application databases, develop market forecasts, validate assumptions, and deliver thought leadership. The role involves collaborating across analyst teams, responding to client and internal inquiries, managing the AMFT model and datasets, adapting research to market needs, and supporting sales, renewals, and product development.