Date Posted:2026-05-27 Country:United States of America Location:US-OR-REMOTE Position Role Type:Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future.
About Zingtree Zingtree helps high-stakes customer support teams deliver fast, consistent, and compliant answers—every time. Our AI Automation platform enables support-agents and end-consumers to follow complex procedures with ease, resolve issues faster, and ensure customers get
Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial
At Tend, how we pay our people is one of the most tangible ways we build trust. The Payroll Manager owns the end-to-end payroll experience for a complex, multi-state healthcare workforce that includes clinical teams, corporate
At Commure, were building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at
Senior Leadership Development Business Partner - Remote Remote, but with a requirement to have the ability to travel for on-site facilitation and meetings at HQ in Miami, FL Summary The Senior Leadership Development Business Partner is
Our Company Claw is building (one-line product description). Were preparing to launch and need a stunning product video to introduce it to the world. The Role Were making a short, high-polish product demo/explainer video (60–120s) in
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on