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Machine Learning Jobs with Non Technical Roles
Robotics, AI and machine learning all sound like very futuristic ideas, but they’re a reality now. They describe computer programs that are able to do things normally performed by humans.
The tasks done by the machines are generally the basics or foundations of a project.
The programmed intelligence does things like repetitive tasks, speech, patterns recognition, work flows and research.
These tasks can be greatly condensed by AI, saving lots of time to humans who in turn can complete additional projects and more complex ones.
AI is growing in every industry, even the creatives ones. Everywhere you have the needs to understand large data and to complete repetitive tasks, AI is having an impact.
However, the larger picture in the field of Artificial intelligence requires many other skills including Marketing, Creativity, Communication and Strategy.
There is room for non tech roles in the very technical field of Artificial Intelligence.
The humanities and the arts are playing a large part in the creation and advances of machine learning.
For every tech role, there are other non techies supporting sales, product development, designs, customer service and other business functions.
Artificial intelligence for travel, education, finance, driving, architecture, the arts, entertainment and other fields make use of non technical skills to support the technology.
So, if you’re thinking that learning coding and programming are the only ways to get a job in AI, know that there are many other skills employed by this sector.
As a non techie looking at the machine learning industry for employment, you may want to take a look at the fields being affected by AI and at the jobs trending in these areas.
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Here are some of the jobs in Artificial Intelligence for non technical roles.
Data Analytics Translator
This is one of the biggest field in AI that is not a technical role.
The job of the Data Analytics Translators is to “make sense” of the results generated by the machine’s rules.
The AI programs identify patterns and scenarios in large amount of data, but it can’t make conclusions about this data.
The Analytic Translator adds value to the process by making sense and forming conclusions about these patterns.
Analytic Translators don’t need very technical expertise in coding or programming software, but they need to communicate with technical staff.
They serve as the middle man between the technical roles in data modeling and the users of this data like products managers.
Data Translators help company’s management translate the patterns into strategies that can give a competitive edge.
Skills needed for Data Analytics Translator include;
- Specific Business knowledge
- Industry knowledge
- Good communicator
- Critical thinker
- Project management skills
The average salary for Analytics Translator is $40 an hour according to Zip Recruiter.
Virtual Assistants and Chatbots designers
This role is growing because many companies are utilizing the Chatbot and Virtual Assistants for customers support and branding.
Companies like Apple, Wells Fargo and others are hiring game designers and writers to develop scripts for their virtual customer service support.
The conversation designer designs the Chatbot and scripts out the different paths a customer may potentially take during the conversation.
This is a role that doesn’t require deep technical knowledge, it does require communication, writing and role playing skills.
Artificial Intelligence Writers
Writers can also thrive in the growing field of Artificial Intelligence. Many are becoming subject matter experts who are highly sought after by magazines and other publishers.
Non technical writers who have an interest on this subject write for online and traditional magazines about AI topics such as industry trends and applications.
For those with computer language programing skills, there are technical writers roles to create manuals and how tos for specific computer programs.
Alexa is an example of Artificial Intelligence application for daily life. The software answers questions by searching the internet, thereby saving the users time and effort.
Alexa is an entire business line for Amazon, therefore it hires staff exclusively for its many functions.
Social Media Manager, Business Manager, Human Resources, International Expansion, Finance are some of the non technical roles found in Alexa.
Will the machine replace artists? Is it real art if a machine produced it?
These are some of the evolving questions about the use of AI in the visual arts.
Machines are used to generate arts and animations that still need human roles.
In the Animations and Visual Arts fields machines are already serving as tools to produce volumes of work.
As a visual artist you can create art and add personal touches that machines are not able to do.
There will be an audience who collects machines generated arts, as there will be those who will remain collecting human created arts.
AI is also being used to do animation tasks, while the storyteller creates the scripts for the characters.
Machines are not very good at creating feelings and humor needed for the animation scripts. For these scripts the human storyteller adds imagination to the work.
Machines are doing language translations, but these require the review and input from human translators.
Many translation agencies are using Artificial Intelligence to get a first draft translation, these hire editors to review and add to the finished product.
You can find translation jobs in many online platforms that are using AI in the work flow.
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Artificial intelligence drives the gaming industry, but there are many roles for writers and storytellers as well.
Writing articles, opinions and scripts for video games does not require technical skills and there is a growing demand for these roles.
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In an increasingly AI-powered world, skills in the arts and humanities have many roles to play. Candidates for these non technical roles in Artificial Intelligence can stand out if they can combine them with new technology.
AI, machines and robots are displacing many jobs that are driven by repetitive tasks and data collection. For this reason it’s a good idea to learn about trends in AI and how they affect your job’s industry.
However, not every job in this field requires technical skills and if you’re looking for non technical work there are other skills in demand.
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