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Yesterday
Seattle, WA, USA
35 Employees
167K-261K Annually
Entry level
35 Employees
167K-261K Annually
Entry level
Artificial Intelligence
As a Research Scientist, you'll conduct research to enhance productivity and the discovery experience for scientists, develop AI tools, collaborate with researchers, mentor early-career scientists, and publish your findings.
Yesterday
Seattle, WA, USA
35 Employees
56K-84K Annually
Entry level
35 Employees
56K-84K Annually
Entry level
Artificial Intelligence
As an Associate Program Manager for Annotation, you will manage human annotation programs, collaborating with researchers to collect training and evaluation data for AI projects. Responsibilities include defining project procedures, managing contracts, recruiting annotators, and ensuring quality assurance in data collection.
Yesterday
Seattle, WA, USA
35 Employees
131K-197K Annually
Senior level
35 Employees
131K-197K Annually
Senior level
Artificial Intelligence
As an Applied Research Scientist, you'll conduct innovative research to enhance the productivity of scientists using AI, collaborate with the team, mentor early-career researchers, author scientific papers, share open source software, and develop relationships with academic and industry organizations.
Yesterday
Seattle, WA, USA
35 Employees
160K-239K Annually
Expert/Leader
35 Employees
160K-239K Annually
Expert/Leader
Artificial Intelligence
The Lead Technical Product/Program Manager will define product vision and strategy for AI applications, collaborating with various teams to drive go-to-market strategy and manage technical product tradeoffs. Responsibilities include creating project roadmaps, ensuring alignment with stakeholders, and implementing program management systems for efficient decision-making and communication.
Yesterday
Seattle, WA, USA
35 Employees
167K-261K Annually
Expert/Leader
35 Employees
167K-261K Annually
Expert/Leader
Artificial Intelligence
As a Research Scientist at Ai2, you will lead research on generative AI and natural language processing, contribute to open-source initiatives, mentor early-career researchers, and collaborate within a core team to advance the science of language models.
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