7 Best AI Jobs to Consider in Today's Market
Artificial intelligence allows computers to emulate human intelligence in a variety of business-integration tasks, including speech recognition, content creation, problem-solving, decision-making, and translation between languages.
Quick technical progress has made it possible for AI to improve over time. Artificial intelligence can now be incorporated into business workflows to provide advantages including increased creativity and efficiency, quick decision-making, and improved customer service. Employers can free up time by using AI to automate repetitive processes like data collection, freeing up staff members to concentrate on higher-value work.
Owing to these enormous advantages, artificial intelligence is being used and integrated into operations by a large number of businesses globally. Consequently, there is a great need for AI engineers.
Whether they work in marketing, finance, manufacturing, or healthcare, businesses want AI specialists to assist with the development and integration of AI systems, conduct testing, provide prompts, diagnose and fix issues, and instruct staff members on how to use AI systems.
Would you consider a job in artificial intelligence?
The use of AI technology has increased dramatically in recent years—it has more than doubled since 2017. While some worry that AI will replace jobs, it’s crucial to remember AI will also lead to the creation of a large number of new jobs. By 2025, AI is predicted to provide 97 million new jobs overall.
Apparently, companies are experiencing problems filling AI positions, which is fantastic news for job seekers! For instance, a lot of companies say they have trouble hiring qualified AI data scientists, data architects, machine learning developers, and product managers.
7 Best AI Jobs
Are you ready to start a career in AI? We highlight some practical careers which are Considered in Today’s Market
1. AI Software Engineer
AI software engineers create software solutions for AI applications. For AI jobs, they combine development duties such as code writing, quality control, continuous integration, API administration, etc. They create and manage the software used by architects and data scientists. They keep up with the latest developments in artificial intelligence technology.
An AI software engineer is required to be skilled in both software engineering and artificial intelligence. They require statistical and analytical abilities in addition to programming abilities. Bachelor’s degrees in computer science, engineering, physics, mathematics, or statistics are usually required by companies. Certifications in data science or AI are also beneficial in securing employment as an AI software engineer.
The average salary for an AI Software Engineer is $129,348 per year
2. AI Writer
It’s realistic to believe that many businesses are using ChatGPT to write and edit content for their business, given its popularity due to its successful content-generating capabilities. However, AI-powered content creation platforms are far from perfect, which is why the position of AI writer/editor has grown so popular.
An AI writer would be tasked with making sure that text created by AI is free of spelling mistakes and false information because the truth is that AI tools still make a lot of mistakes, or what is known as AI hallucinations.
This position will demand exceptional writing skills in addition to some fact-checking and research skills to ensure that misinformation is kept to a minimum.
The average salary for an AI Writer is $20-25 per hour
3. Data Scientist
Data scientists use machine learning and predictive analytics to gather, examine, and interpret vast amounts of data to obtain discoveries that go beyond statistical analysis. They must be skilled in the use of Hadoop, Pig, Hive, Spark, and MapReduce, among other Big Data platforms and tools. Along with statistical computing languages, data scientists are also skilled in programming languages such as Python, Scala, Perl, and structured query language (SQL).
The majority of data scientists have master’s or doctoral degrees, demonstrating their high level of education. While having a computer science degree is helpful, it is not a requirement. Technical expertise in SAS and R, Python coding, the Hadoop platform, familiarity with cloud tools like Amazon’s S3, and the capacity to understand unstructured data are the most desired.
The average salary of a Data Scientist is $117,345 per year
4. Robotics Enginner
A robotics engineer is a specialist who designs, develops, and oversees robotic systems and robots. Robotics engineers usually carry out market research, analyze customer requirements, design and construct robotic systems to satisfy those needs, test and debug systems, and continuously enhance system performance.
To work as a robotics engineer, you typically require a bachelor’s or master’s degree in mechanical engineering, electrical engineering, or robotics. Additionally, previous knowledge in robotics or a related discipline such as electronic technology is frequently required. Expertise in mechanical design, robotics design, control systems, and computers is important for robotics engineers.
The Average Salary of a Robotics Engineer is $99,053 per year
5. AI Research Scientist
An AI research scientist develops original and imaginative queries that AI can handle. They focus on new research initiatives and create new artificial intelligence technology that companies can use to streamline their operations. An AI research scientist’s responsibility is to constantly expand the envelope of what AI can accomplish. Research scientists establish a tool or product’s viability before an organization spends millions creating it. The demand for artificial intelligence scientists is always growing.
The average annual salary of an AI research scientist is $115,443 per year
6. AI Consultant
An AI Consultant is a business expert who guides company stakeholders in adopting AI into their workflow by utilizing their expertise, abilities, and in-depth knowledge of the technology. These experts are proficient in a wide range of AI technologies, such as deep learning, neural networks, machine learning models, and computer vision.
AI consultants work with business stakeholders to pinpoint the organization’s AI use cases. They search for opportunities for improvement through AI automation. For example, they can examine current organizational procedures to figure out how AI can improve customer satisfaction and experiences.
The Average of an AI Consultant is $124,843 per year
7. AI Product Manager
AI Product Manager positions are well-paying because the individual is required to manage and guide a team in developing an AI-powered product. They work together with engineers and data scientists to identify new opportunities and design strategies for creating new AI solutions. An AI product manager is knowledgeable about machine learning and deep learning, and they understand how to apply AI methods to address any type of issue. They will be able to determine exactly how applying machine learning might enhance an already-existing product.
The Average Salary of an AI Product Manager is $128,091 per year
Conclusion
If you want to work in the field of artificial intelligence, you better start preparing yourself now by getting the tools you’ll need to do the job right. A fantastic place to start is by acquiring qualifications in fields like AI and machine learning; with the correct training, the opportunities are virtually endless.