According to the salary negotiation report that Rora has just published on 2023 regarding the salaries of researchers and great experts in the sector of companies that create artificial intelligence tools, OpenAI, the firm that created ChatGPT, is the one that you can pay the most annually.

It is important to note that this report is aimed at researchers, PhDs who are in their fourth and fifth year or doing postdocs who are interested in the transition from universities to working in companies. In addition, Rore says this can also be a guide for professionals starting their career or those who didn’t negotiate salaries well at the beginning of their career.

And this report recalls that “despite the avalanche of layoffs suffered by the tech industry (hundreds of millions in 2023 alone), the demand for AI talent is accelerating, as “new industry research labs such as Anthropic, Inflection, and Altos Labs are raising hundreds of millions in funding to recruit talent,” although hiring has slowed down in the traditional labs of Google, Meta, etc, but they are still growing. In addition, enterprise-backed AI-focused startups have accelerated hiring since the advent of ChatGPT.

Salaries and the Importance of Negotiating

This study shows the starting salary that companies have offered to scientists and PhDs in artificial intelligence, and the final salary they give, after negotiating. OpenAI pays the most, followed by Anthropic and Inflection. For your study, what they’ve done has been

Tesla and Amazon are in this Top Five, followed by Google Brain and TikTok. You have to wait until 13th and 14th places to meet Apple and Microsoft, although the latter is making a huge bet on AI (supported by OpenAI, it’s also true).

It is clear that companies such as Anthropic, Tesla, OpenAI, Google Brain, and Amazon offered the highest initial bids (and were willing to negotiate a higher final deal), but the companies that increased their bids the most are Google Research, Microsoft Research, Bloomberg. AI, IBM Research, and TikTok.”

To understand where these numbers come from, consider that over the past five years, Rore has been training hundreds of PhDs in everything from career decisions to negotiating deals at most major AI companies, and this guide comes out of that knowledge.

Shortage of Great Experts

In 2021, only 1,691 PhDs were awarded in computer science, according to a Taulbee survey. This compares to the fact that in the United States alone there is a need for 33,5000 computer and information scientists, and the demand is estimated to be increasing by 21% annually. That means thousands of jobs can’t be filled.

Right now, “the biggest demand lies in the application of machine learning to computer vision (autonomous and visual), robotics, natural language processing (NLP), biology, and neuroscience. With the introduction of ChatGPT, expertise in large language models (LLMs) has become a new skill set of great interest.”



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