Artificial Intelligence (AI) Researchers help pave the road for developments in AI that touch numerous facets of our lives in today’s tech-driven environment. AI Research Scientists are developing and implementing new algorithms, models, and systems as AI continues to transform sectors like healthcare, finance, and entertainment.

According to a 2023 forecast, highly sought-after artificial intelligence (AI) researchers can fetch over $750,000 annually at top AI organizations immediately upon graduation from college. Not only is a job in AI research intellectually stimulating, but it also has significant room for advancement.

Indeed, during the next ten years, the Bureau of Labor Statistics projects 3,400 job opportunities yearly for computer and information research experts. The need for qualified experts in artificial intelligence is evolving quickly as more and more companies worldwide are investing in AI research and development.

So, in this post, we will discuss the duties and obligations of an AI researcher and all about the AI researcher’s salary. Let’s dig in.

Who are AI Researchers?

Researchers in artificial intelligence (AI) are to use the principles of AI to analyze different data sets and derive diverse commercial insights. The creation of algorithms, data sorting systems, language processing & other tasks are the responsibility of AI researchers.

To ensure that data transformation occurs as effectively as possible, it also involves moving and manipulating data from different channels. AI researchers are skilled at what they do because they often possess a solid grasp of many computer programming languages.

Their area of expertise is in creating machines that significantly lessen the labor required by humans. Because of the rapidly advancing technology landscape and the increasing requirement for continual change, artificial intelligence researchers are in high demand.

Presently, there is significantly more demand for AI researchers than expertise available. Merely 1,691 PhDs were granted in computing research domains such as machine learning in 2021, according to Taulbee Surveys.

However, there are more than 30,000 unfilled vacancies for computer and information research scientists in the US alone. Furthermore, that requirement increases by 21% annually, or 5,000 additional employees, each year.

The AI sector is growing rapidly despite the current economic uncertainty. Venture capital-funded emerging sector research labs such as Anthropic, Inflection, and Altos Labs are recruiting like crazy & although hiring at Google and Meta labs has halted, their AI teams are just growing. It means a career as an AI researcher is quite lucrative for you!

AI Researcher Salary- How Much Can You Make?

Key components of AI

In our data-driven environment, artificial intelligence is becoming one of the most crucial components. Businesses are shifting to automation, utilizing artificial intelligence to its fullest potential and its capacity to quickly and efficiently analyze, aggregate, and evaluate vast amounts of data.

Artificial intelligence demands a pedestal in the business sector since its use necessitates competence. And when put into monetary terms, this pedestal equals a hefty salary.

The demand for skilled employees in artificial intelligence is more than the supply, which makes it costly for businesses seeking to hire researchers and specialists.

For AI researchers, the salary is ideal because the position is highly lucrative. Because AI research requires a lot of brainstorming, the typical wage for researchers in Silicon Valley is between $100,000 and $150,000.

As AI applications grow, so does the salary of researchers in this field. Additionally, as artificial intelligence is used in more contexts, operations get more sophisticated, which makes being an AI researcher a highly sought-after profession.

However, amidst the allure of high-paying positions, there’s a growing interest in entry-level AI jobs. These roles offer a foot in the door for those looking to break into the field of artificial intelligence. While they may not command the same salaries as experienced researchers, entry-level AI jobs provide valuable experience and the opportunity for career growth in this rapidly expanding industry.

AI Researcher’s Salary in 2024

According to the report, the two largest AI laboratories, Anthropic and OpenAI, which run Chatgpt, offer the highest starting pay for new hires, with starting salaries of up to $865,000 and $855,000, respectively. Amazon ($719,000), Tesla ($780,000), and Inflection ($825,000) are some of the other toppers.

It’s valuable that the research focuses on basic income, bonuses, and equity as components of total AI researcher pay. The amount of room for negotiation is astounding. Even at famous firms like Google and Microsoft Research, candidates might see a 77% boost in initial offers. One researcher negotiated a 243% rise from Google’s $216,000 offer to $526,000.

In the United States, an AI researcher can expect to make $130,593 in total compensation per year, with an average income of $108,847. The average range from Glassdoor’s unique model of Total Pay Estimate, which depends on data retrieved from the users, is noted by these values called the median.

For those eyeing AI jobs in the USA, these figures underscore the lucrative nature of opportunities within the field. An annual salary projection of $21,745 for entry-level positions sets a promising entry point for individuals seeking to embark on a career in artificial intelligence.


However, your salary can vary if you are an AI research scientist. In the US, an AI research scientist’s annual total wage is expected to be $133,488 – an average income of $109,549 in the region. An estimated $23,939 in additional salary is expected annually. According to, in the US, an AI researcher’s pay annually can range from $57,249 to $76,200.




Ultimately, an AI research scientist’s average yearly pay might vary based on several criteria, including geography, experience, and the specific area. In the US, the average salary for computer and information research scientists, including AI researchers is $137,0000 annually.

The wage range might be broad. For instance, data scientists, who frequently deal with artificial intelligence (AI) techniques and technologies, generally make around $103,500 a year, but computer and information systems administrators, who are in charge of research and technology teams, may make about $164,000 annually.

AI research scientists can receive basic pay with other benefits and incentives, such as stock options, bonuses, flexible work schedules, and relocation aid.

Top 5 Companies To Work As An AI Researcher

The most in-demand industry work at present is AI. And getting hired by one of the best AI firms in the world, like OpenAI or DeepMind, would be a dream come true. So, here we list the leading AI businesses together with the salaries of their researchers.

  1. OpenAI

OpenAI, the company behind ChatGPT and the hottest AI startup of 2023, tops the list. With an initial compensation of $665K, the corporation offers an annual salary of $865K, with a negotiated delta of 30%.

  1. Anthropic

Anthropic – founded by former OpenAI researchers Dario and Daniela Amodei, is perhaps OpenAI’s massive competitor and the company behind Claude-2. It also compensates its researchers well. The corporation comes in second on the list with an annual salary of $855K.

  1. Inflection

Pi, the friendliest and most customized chatbot ever created by Inflection, also brings its researchers a substantial salary. Inflection gives its researchers an average of $825K in yearly salary.

  1. Tesla

The AI startup behind self-driving vehicles. Elon Musk’s Tesla can serve as a vital power source for AI, the business behind Grok, as it pays its researchers $780,000 annually. It includes an initial payout of $702k, resulting in an 11% high in the negotiated wage.

  1. Amazon

Startups pay more than all large tech is an intriguing observation. With an annual salary of $719k, Amazon is the big-tech company with the highest salary. Also, the base salary is $520k per year with one of the massive negotiated deltas of 38%.

Becoming an AI researcher – What Do You Need?

A career as an AI researcher combines strong technical skills with a love for tackling complicated issues, making it an intellectually engaging and inventive path. It entails a demanding education in mathematics and computer science, a dedication to lifelong learning, and the acquisition of various abilities – from programming to moral thinking.

If you’re serious about working in AI research, get ready to learn about the nuances of neural networks, machine learning algorithms, and data analysis. Here’s how.

  1. Get a robust education:

A bachelor’s degree in computer science, mathematics, statistics, or a similar technical discipline is usually a better place to start. Understanding the fundamentals of AI is essential to comprehending its complexity.

Take statistics, linear algebra, calculus, data structures, machine learning, and algorithms. A master’s or doctorate can be a great way to further your education and gain in-depth knowledge of AI ideas and procedures. These degrees are needed for research roles.

  1. Hone your technical skills:

A great degree of technical expertise is required for AI research. Develop your programming abilities with Python, R, Java, or C++, among other languages.

Gain proficiency with data processing and modeling tools and understand machine learning frameworks such as TensorFlow or PyTorch. Invest in gaining deep learning, neural networks, and machine learning techniques. To hone your skills and obtain real-world experience, indulge in coding contests and open-source projects.

  1. Engage in Research:

In the subject of AI, practical research experience is crucial. During your education, look for chances to work on projects with academics or as a research assistant.

Join research conferences and seminars to share your findings and pick the brains of other experts on the subject. Using AI practically through joint ventures or personal initiatives can also help to know the problems and solutions that exist in the real world.

  1. Start Networking

Building a network is crucial for aspiring AI researchers. Build connections with industry experts by attending conferences, seminars, and online communities like LinkedIn groups or subreddits devoted to artificial intelligence.

Developing connections with seasoned researchers can open doors to joint initiatives, mentoring, and access to the most recent findings and business trends. When seeking career or research roles, networking can be a helpful tool.

  1. Stay Updated with AI Advancements

AI is a fast-developing discipline that constantly sees new developments and technology. Read scholarly articles, attend conferences, sign up for online courses, and take advanced courses to stay informed.

To be competitive in the profession and maintain your knowledge, you must pursue continuous learning. Embrace the quick-paced nature of AI research and be ready to keep learning and adapting.

Wrapping Up

To become a successful AI researcher, each step is essential. A very fulfilling and influential profession may be attained by people who are curious and determined to push the limits of what is possible with AI. The path is one of lifelong learning and love for invention.

The world has never been more dynamic than it is now with artificial intelligence. Because of its rapid evolution, there is a massive need for AI researchers, and the sector is becoming even more appealing to future generations due to the high AI researcher salary.

While searching for legitimate, high-paying AI researcher jobs? Check out!

About the Author: Ravi Soni

Hello! I'm Ravi Soni, the mind behind AI Careers, your go-to hub for finding the best AI job opportunities. My journey into the digital world has been driven by a passion for AI and SEO. Over the past ten years, I've focused on leveraging SEO strategies to boost online visibility and engagement, especially in the tech industry. Before diving into AI Careers, I contributed to the growth of several tech firms, helping them connect with their audience through smart and effective SEO and Link Building campaigns. Now, I'm all about connecting skilled professionals with exciting careers in AI, helping to shape the future of technology. When I'm not busy growing AI Careers, I love to share my knowledge by teaching digital skills to up-and-coming tech enthusiasts. Let's connect! Drop me a message on LinkedIn, whether you're looking for a new opportunity in AI or just want to chat about the latest in tech and SEO.