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Ai Professor Jobs (NOW HIRING)

Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers ...

Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers ...

Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers ...

Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers ...

Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers ...

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How much do ai professor jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai professor in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.
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Infographic showing various Ai Professor job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,792 per year, or $55.2 per hour.

Research Scientist

Scaled Cognition

New York, NY • Remote

Full-time

Re-posted 17 days ago


Job description

Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust.

As a Research Scientist at Scaled Cognition you will:

  • Develop and implement novel, next-generation neural architectures.

  • Work closely with machine learning and product engineers to direct research toward strategic product needs and align product development with novel model capabilities.

  • Stay up-to-date with the latest academic research and react quickly to new discoveries.

You might be the right person for the job if you:

  • Enjoy exploring opportunities for innovation and aligning them with strategic objectives.

  • Can rapidly prototype and evaluate new modeling techniques.

  • Excel in collaborative, cross-functional team settings.