How #AI Prompt Engineers Make $335,000 Per Year...
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The rise of AI, specifically large language models (LLMs), such as Open AI's ChatGPT, is having more than one impact on the global labor market. According to a recent study by OpenAI and the University of Pennsylvania, the introduction of LLMs could affect at least 10% of the U.S. workforce, while approximately 19% of workers could see at least 50% of their tasks affected.?
Notably, the projected effects are expected to affect all wage levels, with higher-paying jobs potentially being more exposed to LLMs. These changes are not limited to industries that have experienced faster recent productivity growth. According to the study, LLM-powered software will have a significant impact on scaling the economic impacts of the underlying models, potentially transforming a variety of industries.
In light of these findings, artificial intelligence-prompt engineering has emerged as a rapidly growing and lucrative field… So let's take a closer look at it.
The emergence of AI prompt engineering
AI prompt engineering is a rapidly growing field that focuses on creating and refining prompts in AI models such as ChatGPT, Google’s Bard, Midjourney and DALLE-2 to achieve desired results.?
So what are prompts? Simply put, they are collections of input text or instructions that direct AI models to produce outputs that are aligned with specific criteria or parameters. Prompt engineering improves the accuracy, performance, and user experience of AI models by assisting developers in identifying and resolving any issues that arise during the model's training.
The rapidly expanding AI landscape has created a seller's market for anyone who can manipulate AI output, including liberal arts graduates. The use of large language models (LLMs) by businesses like Anthropic, a Google-backed startup, Klarity, Microsoft, and OpenAI has quickly moved from the experimental to the practical. As these technologies proliferate, so does the demand for AI prompt engineers.
Recent job listings and lucrative pay scales
The relatively new and rapidly growing field of AI prompt engineering pays well, like REALLY well, with top companies offering generous compensation packages. Anthropic, for example, has a job opening for a "Prompt Engineer and Librarian" with a salary range of $175,000 to $335,000. Klarity, a California-based automated document reviewer, pays up to $230,000 for a machine learning engineer capable of producing the best results from AI tools.
OpenAI, the company that created ChatGPT, is looking to hire hundreds of engineers to improve the reliability and effectiveness of their machine learning platform. Salaries for applied AI research and prompt engineering roles at OpenAI can reach upwards of $370,000!
How to become an AI prompt engineer
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Candidates must have the following skills to pursue a career in prompt engineering:
Prompt engineers collaborate closely with software developers to ensure that software is efficient and responsive. They must understand the task or application they are working on, have a thorough understanding of the language model they are using, and be able to create prompts that provide the context needed to generate accurate and varied outputs.
The future
As AI and NLP (natural language processing) technologies continue to permeate various industries, there will be an increased demand for skilled prompt engineers who can design effective prompts and refine their outputs. The excitement surrounding AI is obvious, and prompt engineering is on track to become one of the top career options of the future.
However, the rapid evolution of AI technology raises concerns about the profession's long-term viability. According to Adrian Weller, director of research in machine learning at the University of Cambridge, the field is rapidly evolving, and the current state of prompt engineering may not be permanent.
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What does it all mean?
AI prompt engineering is an important component of AI development that contributes to its accuracy, effectiveness, and user satisfaction. As the demand for transparency and accountability in AI systems grows, experienced prompt engineers will become more valuable and likely even more in demand.
The big question is: what’s this profession's long-term viability? The near future looks promising for AI prompt engineers as the tech industry continues to prioritize skilled professionals to design effective prompts and improve the performance of AI models. However, with all major tech companies laying off tens of thousands of employees, will they be able to pay these prohibitively high salaries?
No one knows, but one thing’s for sure: if you want to join the game, you better hurry...
What do you think—is this profession here to stay?
Naveed Media
9 个月cool post
Full Stack Developer || MERN + Python
10 个月Fascinating read! ?? AI prompt engineering's rise is indeed impressive, and the demand for skilled individuals is exciting. ???? I'm a bit skeptical about the insistence on a bachelor's degree as mandatory. In tech, skills often outshine formal education, and many successful professionals have proven this. ?? Also, while the high salaries are attractive, the concerns about long-term viability and sustainability in the face of job cuts are valid points to ponder. ?? Overall, great insights, but let's keep an open mind about educational prerequisites! ??????
AI deflationary disruptive technology, will cull out the old jobs and create new opportunities for jobs.
AI Trailblazer ?? | Keynote Speaker & Strategic Advisor | Empowering Execs to Drive Human Capital Transformation & Boost Productivity through Generative AI, Exponential Tech, and Advanced Analytics
1 年Actually, cool post Real Vision but the most experienced prompt engineers - those who have been working on prompt engineering in generative AI since the field started with the first genAI model in 2018 - don’t have computer science degrees - they (we!) are linguists, or English lit or philosophy majors! Yep. That’s the academic backgrounds of the prompt engineers behind early GPT-X commercial products. As for me, the focus of my undergrad was in equestrian studies + communications. (Nope - not horsein around it’s true! ??) But I’ve been working in tech since the ‘80s - today my prompt engineering skills are FIERCE! - and (I swear!) my skills have been enhanced from my teenage years solving text-based games like Planetfall and Zork! ???? So for those who want to develop skills and capabilities as prompt engineers, regardless of your background, don’t count yourself out! Prompt engineers are experts who write prose, not code! ?????? ????♀? woman + machine ??