10 AI Jobs for Non-Techies: Work With AI, Not Code

AI jobs no coding have emerged with recent advances in artificial intelligence (AI) as businesses integrate it across industries, creating demand for roles requiring no coding. Contrary to popular belief, you don’t need to be a software engineer or machine learning expert to find exciting and lucrative AI opportunities. If you don’t know Python or have never heard of open source code, you can still discover engaging AI jobs no coding work in data analytics and more by understanding exactly how your skills translate.

If terms like Python and open-source code are foreign to you, don’t worry. There are still plenty of engaging opportunities in AI jobs no coding for you. In this article, I’ll cover ten AI jobs no coding required that are perfect for non-techies. I’ll guide you through how you can venture into a new job in data analytics, even if you lack tech or programming skills.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.

Finding AI jobs for non-techies

AI Jobs No Coding: Exploring the Possibilities Beyond Programming

AI Jobs No Coding: AI encompasses more than just algorithms and programming. It also involves a broader spectrum of disciplines, such as data science, chatbots, natural language processing (NLP), and large language models like ChatGPT. Even if you don’t possess the hard programming skills typically associated with this sector, there are still roles you could explore in the realm of AI jobs no coding required.

For instance, you might work as a junior threat hunter, protecting cybersecurity networks from hackers. Or, you could become an analytics translator, whose main responsibility is reviewing data and drawing conclusions with real business impact. These roles are crucial for the development of high-quality AI algorithms and products and don’t require a degree in computer science or significant prior tech experience.

Some of these non-tech AI jobs may even be found at major tech companies. You could become a prompt engineer at OpenAI, or perhaps you could find a position as a Director of Artificial Intelligence and Ecosystem Readiness at Microsoft. The possibilities are endless in the field of AI jobs no coding, and I’m excited to share more ideas and opportunities with you in the sections below.

10 top non-technical roles in AI

Let’s dive into 10 non-technical roles within AI that you could pursue. I’ll provide some details about each position, including average salary and projected growth.

1. AI ethicist AI ethicists ensure ethical considerations are kept in mind throughout the development of AI systems and solutions. They may have some technical expertise, but their understanding of the social and moral implications of AI takes precedence. Common responsibilities include guiding the development of AI products based on ethical considerations and ensuring regulations and standards are complied with throughout the implementation process. AI ethicists make $120,000 per year on average, and demand should continue to increase as more companies begin implementing AI systems into their workflows.
2. Project manager Project managers oversee AI initiatives to ensure they align with company goals and objectives. The need is expected to continue to grow even more in the coming years, as new developments in AI offer tremendous potential for streamlining and improving project management. As the desire for AI systems and products keeps growing within various companies and organizations, the complexity of such efforts also increases, which increases the need for skilled project managers. In general, project managers make an average salary of $95,000 per year, and job openings are increasing by 6% annually. Specifically in the field of AI, some project managers are making well over $100,000 annually.
3. AI researcher (non-technical) Non-technical AI researchers focus specifically on the societal, economic, and philosophical aspects of AI. This research can improve efficiency, make business predictions, identify risks, and automate repetitive tasks in a way that frees up current employees to focus on other roles. AI researchers can work in a variety of fields, including health care, marketing, geology, agriculture, and more. As systems continue to evolve and expand, this work should spread to many other industries as well. Potential earnings in AI research are also high, with some workers averaging between $150,000 and $250,000 each year.
4. AI solutions consultant AI solutions consultants help companies create and improve various AI components like chatbots, virtual assistants, and other services powered by machine learning. They are especially skilled at executing projects throughout their entire life cycle and helping with areas such as strategy development, technical assistance, and solution implementation. They also know what talents and tools are necessary to build the most effective AI solutions, and they can oversee an organization’s entire digital transformation and AI implementation. Consultants can have different specialties, such as evaluation, implementation, strategizing, training, and compliance. Some specialize in tech or cloud consulting, while others offer end-to-end solutions to oversee all AI-based processes. The average annual salary is around $125,000, with top earners making closer to $200,000 each year.
5. Social media strategist In today’s tech-driven world allow social media strategists to leverage AI tools to optimize their digital marketing efforts. This approach can include using AI to help create content as well as track data and evaluate ad campaign effectiveness. There are several tools, such as Lately and Sprout Social, that help social media strategists automatically create posts and reply to messages. According to the BLS, the median salary for social media strategists is under $57,000 – still around $20,000 above average. To prepare for AI jobs no coding in this field, you’ll likely need a communications or public relations bachelor’s degree.
6. AI policy and regulation specialist AI policy and regulations specialists focus on understanding the legal and regulatory landscape of AI. As AI is a rapidly developing field, laws are constantly changing, and issues such as privacy and fairness in AI are currently top of mind for many legislators. AI policy specialists stay current on new or updated laws while drafting policies and ensuring compliance for the organizations they work with. The average salary as an AI policy and regulations specialist will likely depend on the field or industry. Generally speaking, compliance officers make higher wages when working in the federal government or management positions than what you could expect in state government or intermediary roles. Time will tell how a specialization in AI compliance may impact annual wages.
7. AI sales and marketing specialist AI sales and marketing specialists understand AI’s capabilities, and use their knowledge to market potential AI products and solutions to businesses and consumers. General familiarity with AI tools will be helpful here, but the key skills to master have more to do with explaining the benefits of AI tools and understanding how to walk clients through the process of implementing them in a way that helps them meet their key business objectives. The average marketing specialist makes around $38 per hour, or close to $79,000 per year, according to the BLS. Wages are higher for employees working in software and computer system design, so it’s reasonable to expect that an AI sales and marketing specialist could find higher-than-average pay.
8. AI user experience (UX) designer AI user experience (UX) designers focus on the user interface and experience of AI-driven applications, ensuring they are user-friendly and intuitive. UX designers understand how to maximize the capabilities of AI for improved user interface while incorporating the human element that’s necessary for creating products that are appealing, useful, and enjoyable to use. The average AI UX designer makes around $107,000 each year. High earners could push $120,000, while even lower earners will still come close to a six-figure annual salary.
9. AI artist The development of AI has opened a new door of opportunity for artists. Generative AI tools enable artists to pursue new creative expressions and more quickly produce aesthetic and thought-provoking works. Some artists fully entrust their creative process to AI, while others simply use it as an aid or tool in the creative process. A great example is Anna Ridler, who trains AI using her own paintings and drawings before producing new pictures of tulips. This is still a relatively new field with not much salary data yet. It’s estimated that an entry-level AI artist can expect to make around $40,000 to $60,000 per year. An experienced AI artist could make around $70,000 to $100,000 per year.
10. AI writer, editor, or fact-checker AI can help writers and editors be more productive and improve their writing quality. In the same way that a schoolteacher could provide feedback on a writing assignment, AI can enhance the quality of an individual’s writing. At the same time, because of some of the inherent inaccuracies, missed information, and possible biases in AI output, fact-checking is essential. The salary for AI writing and editing jobs will vary based on the specific company, client, or topic. Many jobs pay at least $20 per hour, and some pay considerably more. Some writing jobs will pay on a per-word or per-project rate rather than an hourly wage.

Skills non-techies can harness for AI jobs

There are several non-technical skills that can make a difference for somebody looking for a job in AI. These skills are possible to develop, meaning that you aren’t out of luck if you weren’t born or naturally gifted with them. Here are a few that stand out:

• Communication skills. Understanding how to communicate with coworkers, team members, and stakeholders will be an important skill, especially when you’re communicating technical concepts to people who don’t have prior tech knowledge or experience.
• Collaboration skills. If you’re naturally adept at working with a team, collaboration will be a valuable skill for your career in AI. Your productivity will increase, and your entire team will become more efficient.
• Project management skills. Speaking of enhanced productivity, project management skills will enable you to keep your team focused on a shared goal while effectively managing each step in the process of accomplishing your desired end result.
• Problem-solving skills. Being able to quickly and creatively identify solutions to problems as they arise is a valuable skill in any field.
• Organizational skills. Effective organization skills will help you manage your time and resources to stay focused on the work that matters most.

You can develop these skills by seeking feedback from friends and former colleagues, engaging with resources such as books and podcasts, and looking for opportunities to practice and build competency in real-world situations.

How to stand out and secure your AI job

If you’re hoping to land AI jobs no coding required, you’ll want to develop a presence on platforms like LinkedIn that will help you connect with potential hiring managers and apply for open positions. Building a portfolio on Upwork will also help you showcase your capabilities to various employers who may be hiring for full-time or freelance work in the realm of AI jobs no coding.

You may also consider looking for AI jobs no coding within a startup or emerging tech company. These jobs may be easier to land with limited experience, and they can offer a great opportunity to learn about the industry you’re entering for the first time.

Here are a few other tips for showcasing transferable skills to potential employers:

• Tailor to the job description. Look over the job description and pay attention to specific traits or qualities the employer desires. For example, if you notice they are especially concerned about hiring someone who is highly organized, you can emphasize your organizational skills in your cover letter or resume.
• Share concrete examples. Rather than simply telling a hiring manager or recruiter what your transferable skills are, provide examples or stories about when you’ve used these traits in the past.
• Be creative. You may feel like you’re fighting an uphill battle because of your lack of experience, but with a little flexibility and optimism, you can portray your unique background or perspective as a desirable trait.

AI Jobs No Coding: Best Tips for Success

Embarking on a career in AI without a coding background might seem daunting, but it’s entirely possible with the right approach. Here are some of the best tips to help you succeed in AI jobs no coding required:

1. Leverage Your Existing Skills: Identify the skills you already possess that are relevant to AI jobs no coding needed. Skills like critical thinking, problem-solving, and communication are highly valued in AI roles.
2. Understand the Basics of AI: While you don’t need to be a coding expert, having a basic understanding of AI concepts and how they’re applied in business can be beneficial. Look for online courses or resources that provide an overview of AI without delving into technical details.
3. Focus on Industry Knowledge: Gain knowledge about the industry you’re interested in. Understanding the specific challenges and opportunities in sectors like healthcare, finance, or marketing can make you a more attractive candidate for AI jobs no coding required.
4. Build a Network: Connect with professionals working in AI and related fields. Networking can provide valuable insights into the industry and open doors to potential job opportunities.
5. Highlight Transferable Skills: When applying for AI jobs no coding needed, emphasize the transferable skills you bring to the table. For example, if you have experience in project management or data analysis, make sure to highlight these skills in your resume and interviews.
6. Stay Curious and Keep Learning: The field of AI is constantly evolving. Stay curious and continue learning about new developments and trends in AI. This will not only enhance your knowledge but also demonstrate your commitment to staying relevant in the field.
7. Consider Certification Programs: There are certification programs available that focus on AI applications and use cases without requiring coding skills. These programs can provide you with a credential that validates your knowledge and interest in AI.
8. Showcase Your Problem-Solving Abilities: Many AI jobs no coding needed involve solving complex problems. Showcase your problem-solving abilities through examples from your previous work or projects.
9. Be Open to Entry-Level Positions: If you’re new to the field, be open to starting in entry-level positions. These roles can provide you with valuable experience and a foot in the door to more advanced AI positions in the future.
10. Tailor Your Application: When applying for AI jobs no coding required, tailor your application to highlight how your skills and experiences align with the specific requirements of the role. Customizing your resume and cover letter can make a significant difference in standing out to potential employers.

By following these tips and focusing on your unique strengths, you can successfully navigate the world of AI jobs no coding required and build a rewarding career in this exciting field.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.