Top Artificial Intelligence Data & Analytics Jobs

The Client Director will lead large-scale LLM training programs, managing global teams, ensuring data quality, and overseeing client relationships. Responsibilities include optimizing workflows, developing automation tools, and enhancing model performance through high-quality datasets.

As a Data Analyst, you will explore and manage large datasets, build visual dashboards, and communicate insights to stakeholders. Responsibilities include collaborating with teams, cleaning data, and applying analytical skills to address complex issues.

As the first dedicated data hire, you will build analytics to drive business decisions, focusing on product usage, retention, and customer health.

The Business System Analyst will elicit, validate requirements, perform quality assurance, evaluate systems, and coordinate stakeholder participation to align business strategies.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

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.

Drive measurement, experimentation, and analytical frameworks across product and engineering. Build scalable datasets, metrics, pipelines, and dashboards; analyze ML and LLM performance; surface operational risks and reliability insights; and influence product and infrastructure strategy through clear, data-driven recommendations.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

The Business Intelligence Developer at TransPerfect will manage ETL processes, create analytical systems, consult with stakeholders, and enhance reporting workflows using various BI tools.

The Sr. Data Engineer will architect and build an end-to-end data platform, developing data pipelines and infrastructure for AI and robotics teams, ensuring data integrity and governance, and collaborating on ML model development.