Key Points
- Bryan Cranston’s rallying cry to striking actors, “We will not be having our jobs taken away and given to robots,” resonates with workers worried about AI job layoffs.
- Non-technical jobs exist RIGHT NOW in the AI industry, waiting for today’s job seekers to step in and fill those roles. We found five varied examples of new job roles.
- A new perspective on our core skills will reduce the anxiety of a career change and bring expertise and value to this new industry.
Quality jobs at risk
Actor Bryan Cranston said this quote during the height of the actor’s strike in the United States, “We will not be having our jobs taken away and given to robots,” voicing a sentiment that resonates with Americans feeling the pressure of impending AI advancements and threats of job losses.
It is a time of transformation, as artificial intelligence (AI) weaves into our work life, it is creating both concern and curiosity. The thought of changing careers can be daunting. Job security is a core concern with Americans, and people all over the world. History teaches us that with every industrial leap, from the steam engine to the computer to the Internet, new opportunities arise.
New Opportunities arise.
The AI revolution is no different than the Internet revolution before it when compared to the job market. Recently Disney posted an AI job listing stating, “The role will collaborate with third party studios, universities, organizations, and developers to evaluate, adopt, and integrate the latest generative AI. The job promises a base salary of up to $180,000 per year.” The promise of high paying AI jobs sounds great, but are these jobs really accessible to the average worker?
It is simply not true that jobs in the AI industry are just for techies and engineers. A whole new landscape of AI jobs is emerging, and they are not all rooted in coding. But do not give up hope, we looked at LinkedIn for you. We wanted to review non-technical AI jobs in these listings to understand how non-technical people could shift their skillsets to maintain qualities jobs in this AI-dominated future.
What AI jobs exist for non-technical people?
Here are five non-technical jobs roles in AI. These are quality jobs, not get-rich-quick schemes and require minimal upskilling if you are in a related role already.
Sales professionals are always in demand, regardless of industry revolutions. Right now, those who can learn the lingo of AI tools (using a glossary and cheat sheets for example) and help translate that understanding into clear business value to customers are ready to start interviewing.
A DEI Specialist develops and oversees teams to ensure AI products are ethical and human-centered. They lead recruitment to find specialists to detect AI biases and consult on responsible AI development, focusing on equity and inclusivity. This role involves training, data analysis, and staying updated on DEI trends, particularly in healthcare. If you are someone who has been doing DEI for humans, you simply need minimal training in the lingo and use of AI to make the switch. Remember, this is a non-technical position!
AI model fact checker in Biology whose work is to train AI models for a global AI leader. These specialists will audit data to ensure accuracy and consistency, like a fact checker. Ideal candidates have deep subject knowledge, diligence, and are PhD candidates, researchers, educators, or industry professionals. They will evaluate content for AI training, work remotely in the U.S. and attend weekly meetings. Detail orientation, English proficiency, and teaching experience are all preferred, along with an interest in AI.
AI tool trainer is a writer with advanced degrees to train AI models in writing within a field. The role offers flexible hours, weekly pay, and the chance to grow professionally and collaborate with others. Daily activities include improving AI-generated content and assessing its accuracy. This means you write data that AI tools will learn from to improve answers for generations to come. You will need a good grasp of writing conventions with experience in writing and an interest in AI.
project and product management positions exist for those with leadership skills that want to be at the helm of AI product development. This is the most advanced skill job we reviewed but still does not require technical ability in developing AI. Rather, this role requires experience that is commonly found with IT industry professionals including skills like Cloud, SaaS, or supply chain technologies. If you are someone who wants to guide products from concept to launch and set product strategy for AI tools, these job roles could be an easy switch.
A new perspective
Rember, you may not be a perfect fit for these, but you want to look for similar jobs roles that fit your skills. Asking yourself, “maybe I’m not a biologist, but maybe there are other AI training model opportunities in an area I am skilled at.”
So, how does one navigate this new AI world? Start by recognizing that your existing skills might just need a new perspective. If you have thrived in your current job role, consider, and remember, the core skills you have honed. Those are the value of your expertise, and what you bring to new roles with AI.
Don’t skip the standard practices.
We might feel highly anxious about looking around at jobs in a new industry, particularly ones we may not know much about. That is ok. Finding these types of new job roles is closer than you think. Job boards and company websites are increasingly listing AI-centric positions. Here are some tools for your job search.
Remember to diversify your job search:
- Make connections with peers and colleagues.
- Attend industry events.
- Join online forums and discussions.
- Subscribe to news feeds, like Infospark.ai! and other creators to stay informed.
- Do not shy away from asking questions and keep upskilling!
Embracing change
It is time to embrace the change, harness the opportunities, and, as Bryan Cranston urges, ensure our voices are heard in shaping this future. This is more than a call to action; it is a call to adapt and thrive. The AI revolution does not have to be about replacement; We can find ways to deliver human value together with AI and create a path to a prosperous future for us.
