TOP 10 AI-BASED JOBS WITH ZERO CODING KNOWLEDGE IN 2022
Don’t know to code? No worries; These top AI-based jobs are for you.
TOP 10 AI-BASED JOBS: Don’t let yourself down if you think that you can’t get an AI-based job because of your lack of coding knowledge. Yes, it is true that many data science jobs require coding. Yes, it’s true that when you aim to join a data science team that develops new applications, you need to code. But there are many companies and positions where people in various data science roles can join, and not everyone needs to be perfect at coding. Here are the top 10 AI-based jobs that you should apply for even if you have zero knowledge in coding.
IT Project Manager
Technology projects have a lot of nuances to supervise and manage. In one of the most popular AI-based jobs, the IT project manager has to keep an eye on the progress of the project. They monitor the project from start to finish, ensuring that no details are lost in the project. IIT project managers are not required to do the programming work themselves, but they do need to know the basics of what is going on in the technical side of the project. In addition, the manager must build the skills to communicate the critical and technical parts of the project to the client. These skills are essential for the smooth functioning of the organization.
IT Support Specialist
IT support specialists facilitate the setup of clients and clients. AI-based jobs like these let you learn how to use new software, tools, and troubleshoot any errors. Core work involves extensive programming and technical tools, but you will not need to code software programs. This role is a mix of technical know-how and customer support. Therefore, you must have the basic technical skills required to diagnose and resolve project issues.
User Experience (UX) Designer
Websites, applications, and other technology-related designs are about much more than just looking good on the Internet. UX stands for User Experience and the term “user experience” relates to how end-users interact with a product. Popular among AI-based jobseekers, UX designers follow basic standards to ensure that consumers can quickly browse their products and find the information they need. They conduct in-depth research to understand the needs of the customer and understand the pain points to create a product that meets their needs.
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Software Quality Tester
Software Quality Testers (SQTs) guarantee that software products are of high quality before they are released to the public. This field of AI-based jobs is related to quality assurance but different from its quality assurance.
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SEO Specialist
An SEO specialist, or a search engine optimization specialist, is usually classified under the technical domain. However, while search engine optimization (SEO) is sometimes combined with marketing, it has its own set of technical features, such as dealing with increased rankings in search engines whose algorithms are constantly being tweaked. SEO experts work with developers and web designers to ensure that SEO best practices are followed across the board.
Data science strategy consultant
Most companies also struggle to start the data and data science journey. They need education about the possibilities and business benefits of data. Companies need support in answering data science-related questions and establishing vision and implementation roadmaps. They require assistance in building capacities and assistance in the assessment of equipment and providers. A data science strategy consultant develops solutions to all these questions. This type of AI-based job will help you build a complete knowledge of strategy and organizational expertise along with that of a data scientist. But you don’t have to code.
Technical writer for data science software
The data science process includes several proprietary software and platforms: master data management systems, analytics platforms, or visualization and BI tools. And someone needs to familiarize the user with all the technical functionalities and possibilities of use. The job of a technical writer is demanding. They need to understand software and data science. They work with developers, users, and marketing. It is not only the content that has to be developed and perfect but the design must also be in place; finally, the legal requirements must be met.
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Recruiter for technology and data science people
Large organizations have specialized recruiters for technology, AI, and data science positions. These recruiters need to understand the fundamentals of data science jobs and the processes, applications, and goals. In addition, they require a lot of empathy and good communication skills. These recruiters have in-depth knowledge of data science and can spot gaps in CVs or made-up skills and experience.
Data science project manager
Data science people are not necessarily good project managers. Therefore, especially in larger projects or projects that are part of a business transformation, a project manager should overlook the entire project and coordinate all involved stakeholders. In such AI-based jobs, the data science project manager plans designs, and executes the data science solutions. You measure project progress and assess risks. When problems arise, you should go ahead and solve them. And you have to make sure the right people are on the project.
Data Visualization and business intelligence (BI) expert
In the business environment, data science results need to be presented or they are part of a report. The audience is business people with only a little knowledge of data science. Setting up relevant and understandable reporting with data visualizations that tell the whole story to non-technical people is an art. Therefore, in all the data science teams of large corporations, you find specific people responsible for developing and maintaining proper reporting and visualizations. You do not need coding experience for these tools, even if you are developing dashboards, visualizations, and BI reporting. But you need data science knowledge to bring communication and messages into correct reporting.
