Category: Uncategorised

A study by the World Economic Forum suggests that artificial intelligence (AI) is projected to create around 97 million new job opportunities. That’s great news if you are looking to break into the tech industry and establish a career there. But where do you even start?

If you are new to AI, it can be challenging to find a suitable role. However, worry not. This guide explores 7 entry-level AI jobs, the skills and qualifications you require for them, and potential salary ranges. All these details will help you understand the AI field of your interest. So, let’s begin.

7 Entry-Level AI Jobs for Fresh Graduates

Here are some of the most popular entry-level AI jobs you can get as a fresh graduate.

Junior Data Analyst 

Required education: Bachelor’s in Statistics, Economics, Accounting, or Computer Programming

Expected salary: $42,000 to $82,000

As a junior data analyst, your job would be to translate numbers and data into words and graphic visualizations to help organizations make informed decisions. You would also have to write reports to convey the gathered insights.  

For this entry-level AI role, the hard skills requirements are fewer than those of a senior data analyst. These include: 

• Proficiency in data analysis tools like SQL, Excel, Python, and R. 
• Understanding of data visualization platforms, including Tableau or Power BI 
• Basic statistical knowledge 
• Know-how of data processing 

Research Assistant 

Required education: Postdoctoral students, Bachelor’s or Master’s in a related field like Computer Science, Data Science, Mathematics, Artificial Intelligence, Cognitive Science, etc. 

Expected salary: Around $88,245

An AI research assistant contributes directly to research programs responsible for creating and training hierarchical neural networks. Their primary job is to solve multiscale competence challenges, enhance the strength of the networks, and create versatile neural modules for upcoming learning tasks. 

Some of the other responsibilities include basic tasks like scheduling activities of research projects, organizing relevant files, recording meeting notes, etc. The required skills are: 

• Familiarity with at least one framework of machine learning 
• Experience with Python 
• Strong grip over ML concepts 
• Top-notch research skills 
• Teamwork 

You May Also Like: AI Jobs in Healthcare

AI Content Creator 

Required education: Bachelor’s in Communications, Journalism, Artificial Intelligence, Data Science, etc. 

Expected salary: $73,267 to $89,668

This entry-level AI job is straightforward. All you will have to do is produce high-quality content based on a business’s niche through AI. This includes both informational and promotional forms of media, such as blog posts, guides, tutorials, webinars, and online courses. 

According to research, the global AI content creation market is projected to increase to $16.9 billion by 2028. This indicates that more job opportunities will open in this field. That said, let’s have a look at some of the hard skills required for it: 

• Know-how of AI content creation and optimization tools 
• Search engine optimization 
• Analytical skills 
• Content strategy development 
• Audience research 
• Editing 

Junior Software Developer 

Required education: Bachelor’s in Computer Science 

Expected salary: $69,500 and $83,000. 

Software development is another entry-level AI job with a vast scope. For this post, you must know how to make different software by writing codes. Moreover, your other responsibilities can include fixing bugs and gathering user data by integration of AI algorithms and programming. 

To excel as an AI software developer, you will require both technical and behavioral proficiencies like: 

• Expertise in coding languages like Java, Python, SQL, etc. 
• Understanding of data structures and algorithms for data optimization within software
• Knowledge of software frameworks such as .NET for Windows or Cocoa for macOS 
• Front-end design and UI/UX skills 
• Creativity and innovation 
• Problem-solving capabilities 

You May Also Like: AI Jobs of the Future

Information System Analyst 

Required education: Bachelor’s in Information Technology, Information Systems, Computer Science, or any other relevant field. 

Expected salary: Around $55,000

If you are seeking to gain IT and cybersecurity experience supported by AI, an entry-level information system analyst position can be suitable. In this role, your basic responsibilities can involve shaping best practices, addressing security concerns, and managing the software installation. 

Furthermore, supporting the ongoing maintenance and upgrades of systems is also on you. Companies hiring for this position usually look for skills such as:  

• A strong foundation in programming 
• Database management 
• Cloud computing skills 
• Know-how of cybersecurity fundamentals 
• Data Analytics 
• Understanding of various IT software
• Effective communication 
• Stakeholder engagement 

Intern Programmer 

Required education: Bachelor’s in Computer Science 

Expected salary: $47,500 and $59,000

A junior-level AI programming job involves assisting more experienced developers in creating and maintaining different applications and systems. You typically have to write codes, test algorithms, and help in the design and debugging of software using AI technologies. 

The demand for this role is currently high, and the skill requirements are also basic. It includes: 

• Experience with AI concepts and machine learning frameworks like PyTorch and TensorFlow 
• Data management and manipulating skills 
• Know-how of cloud platforms like Azure and AWS 
• Understanding of basic cybersecurity principles

AI Technical Support Engineer

Required education: Bachelor’s in Computer Science, Information Technology, or any similar technical field 

Expected salary: $79,196 to $98,417

An AI technical support engineer is responsible for providing support for AI products and services, troubleshooting AI applications, and assisting customers with AI implementation. 

For this position, you must have a solid understanding of different AI systems, machine learning algorithms, neural networks, and robotics, depending on the specific industry. Further required skills are enlisted as follows: 

• Programming languages proficiency 
• Expertise in managing large datasets 
• Strong diagnostic skills to identify and resolve technical issues 
• Capability to configure software and hardware systems related to AI applications

Related: AI Graduate Jobs (A Comprehensive Guide)

Entry-Level AI Jobs: FAQs 

How can I gain experience in AI before applying for jobs?

For adequate experience in the field, you can participate in internships, be a part of open-source projects, or engage in personal AI projects. Moreover, taking online courses in relevant AI technologies is also beneficial. 

What industries hire entry-level AI professionals?

The industries with entry-level AI jobs include technology, finance, healthcare, automotive, retail, etc. 

Conclusion

Undoubtedly, the AI industry is expanding, and with that, so is the demand for skilled professionals. This presents a fantastic opportunity for you to set a career in this field as it’s the FUTURE. All you need is expertise in some technical areas, and you’d be good to go for different positions. 

Starting with entry-level AI jobs, you can surely reach senior-level roles. The key is to continuously learn and adapt to the evolving dynamics of the industry! 

Related: A Day in the Life of an AI Engineer

Artificial intelligence is revolutionizing several industries. Medical is no exception. From predictive analysis to robotic procedures, AI is shaping the way humans get treatment. In this blog post, we’ll talk about the role of artificial intelligence in the healthcare industry and to what extent it’ll replace human jobs. You’ll also get to know the top AI jobs in healthcare, and you can start applying as a fresh AI graduate. By the end, you’ll have the information you need to confidently navigate the AI job market and land your first job as soon as possible. Let’s dive in. \

Artificial Intelligence in Healthcare

AI has a key role to play in the healthcare industry. Here are some key areas where it’s being applied:

• Diagnosis: AI can analyze images like X-rays, CT scans, and MRIs and help doctors diagnose medical conditions.
• Drug Discovery: AI can help humans discover new drugs and predict their effectiveness.
• Predictive Analysis: AI models can be used to forecast disease outbreaks and patient risks.
• Robotic Surgeries: The technology can help conduct surgeries with precision.
• Remote Patient Monitoring: Doctors can track their patients’ health with AI-powered wearable devices.
• Medical Research: Humans can use AI to analyze vast amounts of data and generate hypotheses.

Will AI Take My Job?

There’s a growing fear that AI will replace human jobs in several industries. While that’s true to some extent, the answer is much more nuanced. While AI can handle repetitive and data-intensive tasks, it can’t fully replace humans yet. Professionals should think of it as a friend rather than a foe. In healthcare, AI can assist in surgeries, handle data analysis, image recognition, and more. Importantly, human assistance is needed at almost every stage of these processes. However, there are some jobs that can be partially or fully outsourced to AI, including image analysts, medical transcriptionists, pathologists, etc.

Top AI Jobs in Healthcare (Plus, Skills Needed to Get Them)

Here are the top AI jobs in healthcare and what skills you need to get them.

Data Analyst

Healthcare data analysts interpret large sums of data with the help of AI. The goal is to help improve operational efficiency and patient outcomes. The skills you need to land this job include:

• Proficiency in statistical software
• Analytical and crucial thinking
• Knowledge of healthcare data systems

You May Also Like: AI Graduate Jobs (Not Specific to Medical)

Medical Data Scientist

A medical data scientist needs data science, medical research, and healthcare expertise to be successful in this role. Their primary responsibilities include data analysis, predictive modeling, decision support, data visualization, research support, and more. The specific skills you need are:

• Machine learning and AI expertise
• Programming languages proficiency (E.g., Python and R)
• Understanding of medical terms
• Problem-solving

Healthcare AI Engineer

An AI engineer applies different AI and machine learning techniques to overcome challenges within the industry. He or she designs AI solutions tailored for different healthcare applications, such as treatment recommendation systems and diagnostic tools. To be a good healthcare AI engineer, you need to be good at AI and machine learning techniques, software development, and project management. Knowledge of healthcare standards and technologies is also important.

Healthcare AI Prompt Engineer

A prompt engineer develops prompts for AI tools to generate responses and execute different applications. Healthcare AI prompt engineers create and refine AI prompts that drive healthcare interactions, such as patient communication. Plus, they help generate AI prompts for healthcare applications, ensuring that AI systems generate accurate outputs. Skills needed to be a successful healthcare AI prompt engineer:

• Expertise in natural language processing (NLP)
• Proficiency in programming languages (e.g., Python)
• Understanding of healthcare processes and terminologies
• Strong attention to detail

Related: A Day in the Life of an AI Engineer

Healthcare AI Project Manager

The role of a healthcare AI project manager is to oversee AI projects within a healthcare organization. Their job is to ensure the projects are completed on time, within the prescribed budget, and meet quality standards. They oversee and manage interdisciplinary teams. Project managers need o have strong project management skills, knowledge of AI and healthcare technologies, excellent communication and leadership skills, and the ability to manage cross-functional teams.

AI Ethics and Compliance Specialist

Artificial intelligence can prove to be a game-changer for the growth of the healthcare industry going forward. But, the technology has its challenges. Probably the most prominent one is to leverage it while complying with all the healthcare laws and regulations. Any professional using AI to perform any task will have to be accountable for the results, so they need to be cautious. As an AI ethics and compliance (The exact name of the role may vary), you’ll need to be good at organization, communication, and problem-solving.

AI Jobs in Healthcare: FAQs

Let’s discuss some frequently asked questions about AI jobs in healthcare.

What Does AI Do in Healthcare?

AI can perform a variety of tasks in the healthcare industry. Some common ones are predicting patient outcomes using historical data, assisting in robotic surgeries, streamlining repetitive tasks, analyzing medical images, personalizing treatment plans using patient data, and more.

What Healthcare Jobs Will AI Replace?

AI will most likely replace specific tasks within jobs rather than completely replace the role. For instance, a radiologist can use AI to analyze images, but human analysis will still be important for accurate diagnosis. In addition, administrative tasks that are repetitive can be outsourced to AI. Similarly, AI tools can now transcribe medical texts with accuracy.

What is the Demand for AI In Healthcare?

The demand for AI in healthcare is rapidly increasing. According to a report, AI in healthcare could save the industry $150 billion per year by 2026. As a result, there will be an increasing need for AI professionals in almost every aspect of healthcare going forward.

Conclusion

The integration of AI in healthcare has opened up several job opportunities for AI graduates. As we move forward with the advancements, some roles in healthcare will evolve and be partially automated, but human involvement will remain irreplaceable. For those with AI expertise and an interest in making a difference in healthcare, the coming years offer exciting prospects. As AI becomes more sophisticated, professionals need to adapt and learn continuously to stay relevant.

You May Also Like: AI Jobs of the Future (And the Most Important Skills)