10 AI New Jobs with High Salaries

 

 

We’re officially living in the AI age. Jobs related to AI are expected to continue growing over the next decade. Roles in artificial intelligence (AI) are set to be the fastest-growing job type. People fear that AI is going to replace many jobs, but I think it will mainly replace heavy-duty tasks. On the other hand, there are already a lot of emerging jobs that will exist along with the evolution of AI.
In this article, we will highlight some of the emerging jobs that are poised to thrive in the AI age.

 

1- PROMPT ENGINEERS:

Prompt engineering is a growing and relatively new field. They specialize in developing, refining, and optimizing AI-generated text prompts. Their goal is to ensure these prompts are accurate, engaging, and relevant for various applications. Working with large language models (LLMs), prompt engineers create prompts that enhance the AI system’s ability to generate creative and informative text.
By collaborating with AI systems like ChatGPT, these engineers continuously improve the models to provide proper and error-free responses. Their expertise lies in teaching the system to deliver more accurate answers, making prompt engineering an essential aspect of enhancing AI technology.

 

– Here are some of the skills that a prompt engineer needs:
– Strong writing skills, Knowledge of natural language processing (NLP), Experience with large language models (LLMs), Creativity, Analytical skills, Problem-solving skills, Attention to detail, Subject matter expertise, and critical thinking.

– salary is up to $300,000 per year.

 

2- AI Engineer:

The AI Engineer is responsible for designing, developing, and deploying AI systems. They work with cross-functional teams, including data scientists, software engineers, and domain experts, to implement AI solutions, and build and maintain AI models that can analyze and interpret large amounts of data, make accurate predictions, and automate complex tasks.
The demand for AI engineers is expected to grow by 40% in just the next five years, due to the increasing use of AI. It is a very significant growth rate.

– Skills Needed:
– Programming skills
– Machine learning
– Data Science
– Communication skills
– Problem-solving
– Creativity
– You need to be up-to-date on the latest trends in AI.

– Average Salary: $120,000/yr

 

3- AI ETHICISTS:

There is a rising demand for AI ethics jobs. AI ethicists play a vital role in ensuring that AI systems are designed and used ethically and responsibly. They address crucial issues like bias, privacy protection, transparency, and accountability, which are essential for building AI systems that align with human values and protect individual rights. By adhering to regulations and standards, AI ethicists contribute to the well-being of society as a whole.
AI ethicists collaborate with AI developers, researchers, and stakeholders to establish ethical guidelines and policies that govern AI system design. As AI continues to advance at a rapid pace, the role of AI Ethicists becomes increasingly important in shaping the ethical landscape of AI technology.

– Skills Needed:
– Ethics and Philosophy: A strong understanding of ethics, moral principles, and philosophical frameworks.
– AI and Machine Learning.
– Data Science and Analytics.
– Critical thinking.
– Problem-Solving.
– Legal and Regulatory Knowledge.
– Collaboration and Teamwork. The ability to collaborate and work effectively with researchers, engineers, policymakers, and domain experts is essential.
– Continuous Learning and being up-to-date on the latest developments in AI technology.

– Average Salary: $135,000/yr.

 

4- Robotics Engineers:

Robotics engineers have the responsibility of designing, developing, and maintaining robotic systems. They utilize their expertise in mechanical engineering, electrical engineering, computer science, and artificial intelligence to create and develop intelligent robots capable of performing specific tasks or functions.
Their tasks involve designing, building, and programming robots that can perceive and interact with their environment, enabling them to perform complex tasks autonomously. Troubleshooting issues and enhancing the robot’s capabilities are also part of their job. Additionally, they must consider safety and ethical implications when designing robots. Robotics engineers find employment in various industries, including manufacturing, healthcare, agriculture, space exploration, and more.

– Skills Needed:
– Strong mathematical skills.
– Programming skills.
– Creativity and Innovation.
– Problem Solving and Analytical Skills.
– Mechanical engineering skills.
– Electrical Engineering.
– Sensors and Perception.
– Understanding Artificial Intelligence and Machine Learning.
– Familiarity with Robot Operating System (ROS).
– Staying up-to-date with the latest advancements in robotics, artificial intelligence, and related technologies.

– Average Salary: $106,000/yr.

 

5- AI TRAINERS:

AI trainers will continue to be in high demand in the future as AI becomes more prevalent in our lives. They are responsible for training artificial intelligence (AI) models to understand user inputs and make decisions, playing a crucial role in the development and improvement of AI systems. AI trainers bring valuable expertise, intuition, and decision-making abilities that are not easily replicable by AI systems alone.
Their contributions are vital in improving language models (LLMs) and making them more useful and reliable. AI trainers provide feedback on the generated text, identify errors, and suggest improvements to optimize AI algorithms, enhancing accuracy and performance. Additionally, they help train LLMs on new datasets, leading to further improvements.
AI trainers often collaborate with data science teams, AI research labs, and companies developing AI-driven products and services to advance the field of AI and ensure its continued progress in various applications.

– Skills Needed:

– Data analysis skills.
– Domain Knowledge: Understanding the subject matter helps in interpreting data and annotations accurately.
– Knowledge of AI and machine learning.
– Programming skills.
– Critical Thinking and Problem Solving.
– Creativity.
– Communication skills
– Knowledge of data security: for maintaining data integrity and user trust.
– Attention to detail: to identify and correct errors in their work.
– Big Data Handling.
– Understanding Natural Language Processing (NLP): to train AI models to understand natural language.
– Strong working knowledge of chatbot metrics.

– Average Salary: $77,000/yr.

 

6- AI Virtual Assistant Developer:

The demand for AI Virtual Assistant Developers will increase as technology continues to develop and as the demand for AI virtual assistants increases.
AI virtual assistant developers create intelligent virtual assistants that can perform tasks, provide information, and assist users in various domains. They design and develop conversational AI systems, integrate natural language processing, and enhance the capabilities of virtual assistants.
The AI Virtual Assistant Developer collaborates with cross-functional teams, including data scientists, UX designers, software engineers, and product managers, to create a fully functional and efficient virtual assistant that meets the needs of users and the business.

– Skills Needed:
– Understanding Natural Language Processing (NLP).
– Programming.
– Machine Learning.
– A strong understanding of data science.
– Communication Skills.
– Problem Solving.
– Attention to detail.
– Creativity.
– Domain Knowledge.
– Stay up-to-date on the latest trends.

– Average Salary: $80,000/yr.

 

7- AI Security Specialist:

AI Security Specialist is responsible for protecting AI systems from cyberattacks. As AI systems become more complex, the need for AI security specialists arises. AI Security Specialists focus on safeguarding AI applications, models, and data from potential threats, vulnerabilities, and attacks.
AI Security Specialists create and implement security policies and procedures that are tailored to the specific challenges of AI systems. These policies provide clear guidance and best practices for handling AI-related data, ensuring privacy, and maintaining the integrity of the underlying infrastructure.

– Skills Needed:
– Understanding of AI systems.
– Programming skills.
– A strong understanding of data science.
– A strong understanding of security principles.
– Awareness of data protection and privacy regulations, such as GDPR and CCPA.
– Continuous Learning.
– Communication skills.
– Problem-solving skills.
– Critical thinking.
– Creativity.

– Average Salary: $150,000/yr.

 

8- AI Product Manager:

AI Product Managers take charge of AI-powered product development, implementation, and management. Their primary focus is collaborating with businesses to define the AI Product Vision and strategy. They conduct market research to identify customer needs related to AI technology and then collaborate with engineers and designers to bring these innovative products to market.

– Skills Needed:
– AI understanding.
– Understanding of machine learning.
– Data science knowledge.
– Business skills.
– Communication skills.
– Problem-solving skills.
– Creativity.
– Analytical skills.
– Project management skills.
– Product Roadmapping.
– Ability to conduct market research and gather customer insights.

– Average Salary: $135,000/yr.

 

9- Blockchain Developer:

A blockchain developer is a software developer who specializes in blockchain technology. They are responsible for designing, building, and maintaining blockchain applications and systems. Blockchain is a distributed database that is shared among the nodes of a computer network. It is a secure, transparent, and tamper-proof way of storing data.
Blockchain developers create decentralized applications (DApps) and write smart contracts using programming languages, and other blockchain-related solutions.
Blockchain developers are in high demand, as the technology is becoming increasingly popular.

 

– Skills Needed:
– Understanding of blockchain technology.
– Programming skills.
– Cryptography skills.
– Experience in building decentralized applications (DApps).
– Ability to write smart contracts in a programming language such as Solidity.
– Web development skills.
– Problem-solving skills.
– Communication skills.

– Average Salary: $100,000/yr.

 

10- AI-Language Model Developer:

AI Language Model Developers are software developers and data scientists who specialize in building and improving artificial intelligence (AI) language models. They use machine learning and deep learning algorithms, working with large datasets, for training and optimizing models like GPT (Generative Pre-trained Transformer). These professionals play a crucial role in creating advanced natural language processing (NLP) technologies for chatbots, virtual assistants, language translation, sentiment analysis, and other language-related applications.

 

– Skills Needed:
– Programming Languages.
– Knowledge of AI and machine learning.
– Knowledge of Natural Language Processing (NLP).
– Data Preprocessing skills.
– Model Architecture Design.
– Knowledge of algorithm optimization techniques.
– Continuous Learning.
– Creativity.
– Problem-solving skills.
– Communication skills.

– Average Salary: $100,000/yr.

 

• If you’re interested in these jobs, you can learn the skills required by taking courses. These skills are available through various courses right now. If you’re looking for top-notch AI courses, consider checking out Udemy. They offer courses for all areas of interest. Simply click the link to their website to find the best offers. Click here.

– As AI continues to evolve, the demand for skilled individuals in these roles is likely to remain high. If you are interested in a job in the AI field, you will be part of a talented team that develops new AI technologies that will have a positive impact on the world.