Artificial intelligence comprises more than just coding. In fact, there are several AI jobs available that do not require any coding knowledge at all. These roles offer lucrative salaries and promising career advancement opportunities in the rapidly growing field of AI.
Top AI Jobs Without Coding
The artificial intelligence (AI) industry is booming. This multi-billion dollar industry is projected to grow from USD 638.23 billion in 2024 to USD 3,680.47 billion by 2034, at a compound annual growth rate (CAGR) of 19.1%.
As a result, the demand for professionals in AI has increased. Every tech company is expanding its AI department.
When one thinks of someone working in AI, an image pops up of the person slumped over their computer, coding away for hours on end.
However, the reality is that there is more to AI than coding, and not all AI professionals need to have coding knowledge. Many roles within the industry focus on other aspects such as data analysis, problem-solving, strategic planning, and more.
If you are someone who is interested in AI but hates to code, then the good news is that there are still plenty of opportunities for you in the field.
In this article, we will explore the top AI Jobs without coding. Let’s get started.
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These are some of the top jobs in AI you can do without any coding knowledge:
Prompt Engineers design and fine-tune prompts for large language models (LLMs) like ChatGPT and Gemini. Their goal is to ensure that AI systems provide accurate, useful, and coherent responses based on well-structured inputs. In very simple words, a prompt engineer has the responsibility of making AI sound more human.
In order to become a prompt engineer, you need to have a good understanding of natural language processing (NLP), creativity, writing skills, and the ability to craft effective prompts.
As for the salary, prompt engineering is one of the hottest jobs in AI at the moment. So, a prompt engineer can make around $70,000 to $180,000 annually, depending on the skill set and experience.
AI Product Managers oversee the development, strategy, and life cycle of AI-powered products. They collaborate with data scientists, engineers, and business teams to ensure the product meets market demands and user needs. Also, they define product roadmaps, identify AI use cases, and ensure successful deployment.
The key skills required for this role are a proper understanding of AI technology, project management, business strategy, and customer needs.
The typical salary of an AI product manager ranges from $120,000 to $400,000 a year.
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The job of an AI Sales Engineer is to work closely with the sales teams to provide technical expertise during sales processes. They demonstrate the capabilities of AI solutions to potential customers and guide them through product implementation.
In order to get this role, you would need to have a strong knowledge of AI products, customer relations, technical sales, and communication.
Sales engineers make anywhere between $100,000 to $200,000 annually.
AI Business Analysts identify business opportunities where AI can be applied to improve operations, reduce costs, or create new revenue streams. They analyze business data and collaborate with technical teams to implement AI solutions. They focus on assessing the potential business impact of AI, defining AI strategies, and ensuring successful business adoption of AI technologies.
An AI business analyst needs to have a strong acumen in business analysis, data interpretation, AI understanding, and problem-solving.
The typical salary of an AI business analyst ranges between $80,000 and $150,000 annually.
The primary job of AI ethics specialists is to ensure that AI systems are developed and used in ethical ways. They focus on fairness, transparency, and accountability in AI systems to avoid biases and ethical issues. Another major area they focus on is identifying potential biases in AI models and creating frameworks to govern ethical AI use.
A person working in this role must have a thorough understanding of AI technology, ethics, compliance, policy-making, and legal frameworks.
Typically, these specialists make somewhere around $90,00 to $150,000 annually.
AI Product Designers focus on creating user-friendly interfaces and experiences for AI-powered products. They ensure that the AI features are integrated seamlessly into the product design and enhance usability. Product designers focus on making AI-driven products intuitive and ensuring that the consumer can interact with AI systems effectively and efficiently.
To become a product designer, you need to have enough knowledge and experience in UX/UI design, knowledge of AI capabilities, human-centered design, and prototyping.
AI product designers usually make $90,000 to $250,000 a year.
AI Data Annotators are responsible for labeling and categorizing datasets that are used to train machine learning models. Their work is essential for supervised learning, ensuring the AI understands data inputs correctly. One of the most important aspects of their work is creating high-quality, accurately labeled datasets for AI models to learn from.
An AI data annotator needs to be skilled in data labeling, attention to detail, knowledge of AI systems, and consistency.
Their pay typically ranges from $40,000 to $80,000 a year on average.
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AI Policy Analysts evaluate the impact of AI technologies on society and help create policies that regulate their use. They analyze the societal implications of AI and develop frameworks to address issues like privacy, security, and bias.
Policy development, understanding of AI regulations, legal expertise, and research are the strong suits of an AI policy analyst.
They often work with governments or organizations to ensure AI technologies are used responsibly.
The average pay of an AI policy analyst ranges between $130,000 and $180,000. However, some organizations offer pay packages as high as $300,000.
Sector AI Specialists focus on applying AI technologies within specific industries, such as healthcare, finance, or manufacturing. They tailor AI solutions to meet the unique needs and challenges of their sector. They drive AI adoption in their sector by identifying opportunities for automation, optimization, and innovation.
A sector AI specialist will be skilled in industry knowledge, AI technology, and implementation strategies.
In this role, you can easily expect to earn around $100,000 annually. Again, the actual compensation will differ depending on the experience level, knowledge, and employer.
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The nine jobs we have listed above are some of the best and most lucrative career options in the field of artificial intelligence. As we have stated above, the world of technology is more than just coding and programming. It involves a wide range of skills and expertise, making it a diverse and dynamic field to work in. With the increasing demand for AI professionals across various industries, pursuing a career in any of the above roles will offer you a rewarding and fulfilling professional journey.
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This post was last modified on October 8, 2024 7:03 am
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