Top Entry Level Artificial Intelligence Jobs

Support logistics manager by coordinating shipments between Hawaii and continental US, handling invoicing, tracking deliveries, processing claims/returns/credits, liaising with truckers, sales reps, and customers, and performing clerical and reporting tasks.

Entry-level .NET developer supporting software projects. Requires basic programming knowledge (C++, VB, C#), familiarity with HTML/IDE tools and Microsoft Office, strong communication, and ability to multitask. ASP.Net and SQL Server experience and domain knowledge (finance, banking, insurance, retail, healthcare) are preferred. Fast learner, organized, and deadline-oriented.

Company invites candidates to submit resumes for future roles across the organization. Paradigm Health describes its mission to improve equitable access to clinical trials and encourages applicants from all backgrounds to apply for potential opportunities.

MakeInfinite Labs is seeking developers and engineers who are eager to learn and grow. Applicants can submit resumes for future opportunities.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

The Photonics Design Engineer will design and optimize optical components, lay out circuits, analyze test data, and support prototype development.

This position invites candidates to submit their resumes for consideration for future roles, with no specific qualifications listed.

General open application inviting candidates with any relevant skills to apply for consideration across company functions. Used to capture talent for roles that are not currently posted.

As a Software Engineer, you'll collaborate with the R&D team to design and implement scalable infrastructure for automated research systems, ensuring enterprise compliance and contributing to product design.

As a Data Engineer at MAI, you will develop and maintain data platforms, design ETL/ELT processes, ensure data quality, and collaborate with teams to optimize data utilization for analytics and ML applications.