Top 10 AI-Based Jobs In 2022 With No Coding Knowledge

Don’t be hard on yourself if you think you can’t get a job in AI because you don’t know how to code. Yes, coding is needed for a lot of data science jobs. Yes, you need to know how to code if you want to work on a data science team that makes new apps. But there are many companies like Amazon, Accenture, and AI-Based Jobs where people with different data science roles can work, and not everyone has to be an expert coder.

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Here are the top 10 jobs that involve AI that you should apply for, even if you don’t know how to code.

IT Project Manager

There is much information to keep track of and manage in technology projects. In one of the most common jobs that use AI, the IT project manager has to keep track of how the project is going. They keep an eye on the project from the beginning to the end to ensure nothing is missed.

IIT project managers don’t have to do the programming work themselves, but they need to know the basics of the project’s technical side. The manager must also learn how to talk to the client about the important and technical parts of the project. These skills are very important for the organization to run well.

IT Support Specialist

IT support specialists help clients and clients get set up. AI-based jobs allow you to learn how to use new software and tools and fix problems. Core work requires a lot of programming and technical tools, but you won’t have to code software. This job requires both technical knowledge and good customer service skills. So, you must have the basic technical skills to find and fix problems with a project.

User Experience (UX) Designer

Designing websites, apps, and other tech-related things is about much more than just making them look good on the Internet. UX supports User Experience and concern about how a product is used by its end users.

UX designers follow basic standards to ensure customers can quickly look through their products and find the necessary information. This type of field is popular among people who want to work with AI-based jobs. They do a lot of research to find out what the customer wants and where the pain points are so they can make a product that meets those needs.

Software Quality Tester

Software Quality Testers (SQTs) ensure that software products are of high quality before being released to the public. This field of AI-based jobs is similar to quality assurance, but not the same.

SEO Specialist

An SEO specialist -one of the best Ai-based jobs that usually works in the technical field. But even though search engine optimization (SEO) is sometimes combined with advertising, it has its own technical aspects, such as dealing with higher rankings in search engines whose methods are always being changed. SEO experts work with web developers and designers to ensure that the best SEO techniques are used everywhere.

Data science strategy consultant

Most companies also find it hard to start their journey with data and data science. They need to know what data can do and how it can help their businesses. Companies need help answering questions about data science and making plans for vision and implementation. They need help building their skills and figuring out how good their equipment and providers are.

A consultant in data science and strategy comes up with answers to all of these questions. This type of AI-based job will teach you everything you need to know about strategy and organization and give you data scientist skills. But you don’t have to code.

Technical writer for software in data science

The data science process uses several proprietary tools and platforms, such as master data management systems, analytics platforms, and visualization and business intelligence (BI) tools. And someone needs to explain to the user how to use all the technical features and options.

A technical writer has a tough job. They need to know how to use software and how to work with data. They work with developers, consumers, and marketing teams. The content must be developed and perfected, and the design and legal requirements must also be in place.

Recruiter seeking professionals in technology and data science

Large companies have recruiters specializing in filling tech, AI, and data science jobs. These recruiters need to know the basics of data science jobs, including how they work, what they are used for, and their goals. They also need a lot of understanding and good communication skills. These recruiters know a lot about data science and can spot gaps in CVs or skills and experience that aren’t real.

Data science project leader

People who study data science are not always good at running projects. So, especially for bigger projects or projects that are part of the business transformation, a project leader should be in charge of the whole thing and make sure that all the people involved are working together.

In these AI-based jobs, the machine learning project manager plans, designs, and implements the data science solutions. You maintain track of the projects developed and weighed the risks. When problems come up, you should try to fix them. And you have to ensure that the project has the right people working on it.

Data visualization and business intelligence (BI) specialist

In the business world, data science results need to be shown or written up in a report. The people who interpret this are business people who don’t know much about data science. Setting up relevant and easy-to-understand reports with data visualizations that tell non-technical people the whole story is an art. So, specific people on the data science teams of all large companies are in charge of making and keeping up-to-date reports and visualizations. Even if you are making dashboards, visualizations, and BI reports, you don’t need to know how to code to use these tools. But you need data science knowledge to turn interaction and messages into accurate reports.

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