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AI is inevitably seeping into the workplace. And while some fear the technology could replace workers, an AI industry leader says workers shouldn’t worry about the new tools replacing them — they should worry about the people who know how to use them. Almost half of C-suite level executives surveyed by Deloitte said their companies are currently training and upskilling workers…..Story continues…
By: Britney Nguyen
Source: Quartz
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Some areas that use AI include agriculture, legal, retail, healthcare, education, banking, and transportation. Because these opportunities involve project development, many employers offer remote positions. In 2024, the AI industry offers some of the most lucrative career opportunities in the technology space. AI jobs are generally high paying, especially at top tech companies like Netflix, Facebook, and Uber. So let’s see the highest-paying AI jobs right now (based on the latest 2024 data).
As of Mar 23, 2024, the average annual pay for a Remote Artificial Intelligence Engineer in the United States is $101,752 a year. Just in case you need a simple salary calculator, that works out to be approximately $48.92 an hour. Learn AI basics and programming languages like Python. Online Courses: Enroll in reputable platforms like Coursera and edX. Build a Portfolio: Showcase projects on GitHub to demonstrate skills. Join AI Communities: Participate in forums, meetups, and platforms like Kaggle.
AI is a broad and interdisciplinary field that requires a combination of technical, mathematical, and analytical skills. To work in AI, you need to have a strong foundation in computer science, mathematics, engineering, or related fields.To get a job in artificial intelligence (AI), you’ll want to earn a bachelor’s degree in computer science or a related major. Also consider pursuing a postgraduate degree and building your experience and portfolio.
AI engineering can be challenging, especially for those who are new to the field and have limited experience in computer science, programming, and mathematics. However, with the right training, practice, and dedication, anyone can learn and become proficient in AI engineering.The estimated total pay range for a Artificial Intelligence Engineer at Apple is $202K–$282K per year, which includes base salary and additional pay.
The average Artificial Intelligence Engineer base salary at Apple is $176K per year. “Examples include data entry, basic customer service roles, and bookkeeping.” Even assembly line roles are at risk because robots tend to work faster than humans and don’t need bathroom breaks. Zafar also points out that jobs with “thinking” tasks are more vulnerable to replacement.They found that skilled manual jobs, such as mechanics, plumbers and carpenters have little exposure to AI, with medical professionals ranked among the highest-paid and best insulated careers.
Sales and business development professionals in AI help companies market and sell AI products and services. While you need a strong understanding of AI concepts, you don’t typically need to code. Do I need a degree to become an AI engineer? No, you don’t need a degree to become an AI engineer. Increasingly, people are using professional certificate programs to learn the skills they need and prepare for interviews. Still, many companies require at least a bachelor’s degree for entry-level jobs.
In terms of education, you first need to possess a bachelor’s degree, preferably in IT, computer science, statistics, data science, finance, etc., according to Codersera. Prerequisites also typically include a master’s degree and appropriate certifications. Which company pays the most to an AI engineer? Compensation varies by location and experience, but large tech companies like NVIDIA, Microsoft, OpenAI, Google, and Amazon, are known for offering competitive salaries to AI engineers as high as $179,451 per annum.
Yes, you can learn AI development on your own, thanks to the vast amount of resources available online. Start with foundational topics such as machine learning, data science, and computer science. Practically apply what you learn in AI projects, available on platforms like Kaggle. Learning AI doesn’t have to be difficult, but it does require a basic understanding of math and statistics. In this guide, we’ll take you through how to learn AI and create a learning plan.
If you’re starting from scratch and learning the basics of AI, you should be able to do it in about six months. At that point, you can start looking for entry-level positions. If you’re learning more complicated AI, such as data science, you may need an advanced degree that will take several years to earn. AI engineers are in high demand due to the growing demand for AI technologies in various industries. According to the Bureau of Labour Statistics, Artificial Intelligence engineers’ career growth is anticipated to be at least 31.4% by 2030.
Roles focused on data analysis, bookkeeping, basic financial reporting and repetitive administrative tasks are highly susceptible to automation. Jobs involving rote processes, scheduling and basic customer service are increasingly handled by AI. To get a job in artificial intelligence (AI), you’ll want to earn a bachelor’s degree in computer science or a related major. Also consider pursuing a postgraduate degree and building your experience and portfolio.
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