12 High-Paying AI Jobs Without Coding Skills In 2024

If you feel intimidated to foray into AI jobs without coding experience, shed your doubts! AI promises opportunities galore, even if you come from a non-technical background. As leading companies and startups deploy intelligent systems, demand for supporting talents with human skills rather than just coding grows exponentially.

Whether you studied arts, commerce, or languages, you can learn basic AI applications on the job. Complement in-demand strengths like creative thinking or business insight with strategic tech exposure through quick online programs.

Equip yourself for high-impact AI jobs with non-technical skills in ethics, writing, design, and more. Let people-centered abilities meet future-forward domains, creating societal value. Say yes to an AI-powered career now!

Is It Really Possible To Get Artificial Intelligence Jobs Without Coding Skills?

Several emerging roles cater to AI jobs without coding as AI transforms industries. Although programming skills power cutting-edge research, deploying AI relies on cross-functional teams.

You can excel in various AI jobs for beginners like community manager, UX designer, quality tester, and technical writer, even without coding expertise or higher education. Rather than technical specialization, most demand a learning mindset with just enough tech context.

Soft skills like communication and ethics matter more. Entry-level opportunities to gain experience also abound. Strategic knowledge targeted online courses prove valuable. So, chase your beginner AI dream today!

What Is The Salary Range Of AI Jobs Without Coding?

Although not as lucrative as core engineering roles, artificial intelligence jobs without coding skills promise attractive incomes, especially as demand rises.

Annual salaries for full-time positions like AI project manager, data analyst, sales specialist, quality assurance tester, and UX designer typically range from $60,000 to $90,000 on average. With some experience, experts in domains like ethics and communications also break past six figures.

Freelancing hourly rates span $30 to $100 based on niche skills. As organizations race to adopt AI, high-paying artificial intelligence jobs abound in non-programming spheres catering to strategic needs. Tap into exponential career growth sans code!

12 Best AI Jobs Without Coding: No Code Artificial Intelligence Jobs In 2024

There are now hundreds of AI jobs without coding available around the globe. You can easily take these jobs without having any programming skills at all. Here are the highest-paying AI jobs for non-coders that you can apply for.

1. AI Technical Writer

AI technical writing is an exciting new field that doesn’t require coding skills. As AI systems become more complex, there is a growing need for people who can explain them clearly to end users. It is currently among the best artificial intelligence jobs for non-programmers.

Job Description: AI technical writers create user manuals, tutorials, FAQs, and other documents to help people understand and use AI tools. They interview developers to understand how systems work, write instructions in plain language, organize information for quick lookups, and update materials as features change.

Salary Range: The average salary for a full-time role is $67,000 annually. Freelancers typically charge $35-50 per hour. Most positions require a bachelor’s degree, but some hire based on writing samples alone.

Required Skillsets: You need excellent writing and communication abilities rather than a tech background. Soft skills like project management and teamwork are also useful. If you are looking for low-stress jobs, technical writing can be a perfect choice for you.

Job Preparation: To break in, develop a portfolio showcasing your ability to explain complex topics. Useful free resources include:

2. AI Data Labeler

Data labeling is vital for training AI models, creating a huge demand for artificial intelligence jobs without coding skills like AI data labelers. As models rely on quality labeled data, this is one of the in-demand AI jobs right now.

Job Description: As a data labeler, your core duty is to manually label and annotate all kinds of data, like images, videos, text, audio, etc., based on the provided guidelines. Quality labeling helps ensure the AI models are trained accurately. You will work closely with data scientists and developers.

Salary Range: Full-time AI data labelers make $35,000 to $55,000 annually on average in the US. Many companies also hire freelancers, with part-time or gig opportunities paying $15 to $30 per hour based on your speed and accuracy.

Required Skillsets: You don’t need a college degree, although some knowledge of machine learning concepts helps. The key skills are attention to detail, communication abilities, basic computer skills, and aptitude for repetitive tasks. Relevant experience can often substitute for formal education.

Job Preparation: To get started, take a few online crash courses in AI fundamentals, data labeling, and annotation tools. Build a portfolio by practicing on open datasets. Getting some professional experience through internships also helps. Some helpful free resources:

3. AI Customer Support

With AI promising to transform customer service, exciting new roles like AI customer support specialists are opening up. As companies adopt AI bots and assistants, they still need humans to augment the machines, blending empathy and emotional intelligence.

Job Description: As an AI customer support specialist, your key responsibilities involve troubleshooting service issues, providing feedback to improve AI systems, and handling complex customer requests that automated systems cannot resolve. You collaborate with data scientists and developers closely.

Salary Range: The average pay for full-time AI customer support specialists is $45,000 to $65,000 per year. Many companies also hire remote, part-time specialists at $25 to $35 per hour. There is ample scope for flexibility.

Required Skillsets: You need at least a high school diploma with some communication or customer service background. However, most skills like messaging etiquette, troubleshooting techniques, tools knowledge, and problem-solving can be learned on the job. Relevant experience often substitutes for a college education.

Job Preparation: To prepare, take some online courses to gain the basics of AI and technical support fundamentals. Familiarize yourself with helpdesk software and tools. Getting internship experience helps, too. Helpful free resources:

4. AI Ethicist

As AI grows more advanced, ensuring ethical practices has become crucial in the field. The demand for specialties like AI ethicists is rising sharply.

Job Description: Your primary duty is to make certain that artificial intelligence systems and policies adhere to moral values, regulations, and socially responsible norms. You carry out ethical reviews on data, algorithms, and use cases to uncover biases and potential harms. Formulating guidelines, governance procedures, best practices, and collaborating cross-functionally is key.

Salary Range: The average salary of a full-time AI ethicist in the US is approximately $97,000 annually. Part-time gigs are also common at around $50 to $90 per hour for consultants. The field promises lucrative potential as regulatory requirements grow.

Required Skillsets: You require skills in ethics philosophies, risk assessment, regulations, and critical analysis rather than hard technical proficiencies. Having an advanced degree in social sciences, humanities, or public policy with reasonable AI knowledge helps considerably, although the relevant experience can substitute a post-grad degree in some companies.

Job Preparation: To gain entry, take online courses on AI basics, ethics, and policy. Read key reports and frameworks in the field. Consider getting certified in AI fairness/ethics principles. Helpful free resources to start:

5. AI Quality Tester

Companies are now racing to integrate AI, and the demand for AI jobs without coding, like AI quality testers, is surging. Testing and validating AI systems requires human insight. This is an exciting niche for those with sharp analytical abilities rather than coding skills.

Job Description: Your core responsibility is assessing the quality, safety, and reliability of AI models, applications, and interfaces. You design test cases, provide inputs to systems, analyze outputs, document issues, and offer suggestions to enhance AI reliability. Strong communication with developers is critical.

Salary Range: The average annual salary of a full-time AI quality tester in the US is $89,000, as expertise in strategically testing intelligent systems is a high-income skill. Part-time work as a consultant is also common at $40-$60 per hour.

Required Skillsets: You need a bachelor’s degree in technology, product design, or related fields to thrive in this role. However, taking online courses in AI fundamentals, UX design, and QA testing to build relevant skills can often offset the lack of specialized education.

Job Preparation: To break in, take introductory AI courses, learn QA methodologies, and get familiar with AI testing tools. Building a portfolio through online projects helps. Some of the helpful free resources are:

6. AI Business Analyst

As companies increasingly invest in AI, demand for AI business analysts to determine ROI and strategies is soaring. With our blend of tech and business acumen, it’s an exciting role!

Job Description: Your primary duties as an AI business analyst are understanding company needs, evaluating where/how AI can add value, performing cost-benefit analysis of AI solutions, and crafting business cases to pitch proposed investments. We serve as the liaison between tech teams and leadership.

Salary Range: The average salary of full-time AI business analysts in the US is $85,000 annually. Consulting gigs are also common at hourly rates of $50-$125 for those with niche expertise.

Required Skillsets: You need at least a bachelor’s degree, ideally in business or technology. However, taking online courses in AI foundations, data analytics, and business analysis can offset the lack of specialized education. Relevant experience is valued.

Job Preparation: To break in, take intro AI courses, learn business case modeling, get certified in AI frameworks, read case studies, and consider data analytics internships. Helpful resources:

7. AI Sales And Marketing Specialist

AI is transforming sales and marketing how we have known it for ages. New artificial intelligence jobs without coding skills, like AI sales and marketing specialists, are rising worldwide. Blending soft skills with just enough tech know-how, we can drive business impact without intensive programming.

Job Description: As an AI sales and marketing specialist, your primary duty is to deploy AI tools and analytics for tasks like lead generation, campaign optimization, sentiment analysis, predictive recommendations, and conversing with leads via chatbots. We evaluate outcomes and convey insights to improve strategy.

Salary Range: The average salary of full-time AI sales and marketing specialists in the US is $68,000 per year. Part-time gigs pay around $35 to $50 per hour based on experience.

Required Skillsets: You need a bachelor’s degree, ideally in marketing or business-related disciplines, to thrive in this role. However, taking online courses in AI applications for sales and marketing can offset the lack of direct credentials. The key skills are communication abilities rather than technical specialization.

Job Preparation: To get into this field, take introductory AI and data literacy courses and learn major marketing automation tools. Getting Google Analytics and HubSpot certifications helps. Helpful starter resources are:

8. AI Communications Specialist

As AI progresses, conveying its benefits and implications to the public is vital. AI communications specialists serve this strategic niche, blending writing skills with basic tech know-how. It is truly an exciting avenue for jobs without any experience.

Job Description: Your primary role involves interpreting AI innovations for general audiences across formats like articles, videos, and campaigns. Key duties include research, plain language writing, selecting media channels, graphics creation, community management, and analyzing engagement metrics to optimize communication.

Salary Range: The average annual salary of full-time AI communications specialists in the US is $63,000. Part-time gigs pay around $35 to $50 per hour based on skills and portfolio. Companies seek talented freelancers due to their niche skills.

Required Skillsets: You need basic technology literacy and excellent writing and multimedia skills rather than specialized education. However, taking online classes demonstrates commitment. Most skills are learned on the job, providing opportunities without traditional experience.

Job Preparation: To start, take AI literacy and writing classes online for concepts. Study outreach of organizations explaining the technology. Using tools like Canva to create portfolios helps land initial roles to build experience. Here are some helpful starters:

9. AI Project Manager

AI adoption is growing worldwide, and project managers who can steer complex implementations are in hot demand. Blending soft skills and basic technical aptitude, AI project managers represent promising AI jobs without coding.

Job Description: Your primary responsibility as an AI project manager involves planning and coordinating AI deployments end-to-end. Key duties span assembling cross-functional teams, creating roadmaps and task flows, risk management, stakeholder communication, and tracking progress using Agile frameworks.

Salary Range: The average salary for full-time AI project managers in the US is $150,000 annually as strategic in-demand AI skills command premium wages. Independent consultants also see strong demand at typical rates of $70-$100 per hour.

Required Skillsets: You need a bachelor’s degree and PMP certification, ideally with some exposure to data science concepts. However, taking online courses in AI project management can prove commitment to recruiters. Soft skills are valued over technical specialization.

Job Preparation: Take intro AI courses to understand development and data concepts. Learn popular project management approaches like Agile and Kanban. Getting associate certifications like CAPM helps land initial roles. Helpful starters:

10. AI UX (User Experience) Designer

As AI becomes mainstream, demand for intuitive human-centric design booms. AI UX designers blend creativity with just enough technology aptitude to cater to AI jobs without coding.

Job Description: As an AI UX designer, your key responsibility involves conceiving interfaces that enable seamless user interactions and experiences with AI systems. Core duties span ideation, prototyping, visual design, usability testing, and gathering feedback to boost engagement and adoption.

Salary Range: The average US-based full-time AI UX designer earns around $90,000 annually. With some industry experience, this can go to as much as $120,000. High demand also creates ample freelancing opportunities at typical rates of $45 to $65 per hour.

Required Skillsets: You need proficiency in design tools rather than a specialized degree. However, taking online classes demonstrates interest to recruiters. Most skills are learned on the job, although some AI literacy helps ease conversations with technical teams.

Job Preparation: To start, take basic AI and UX courses to understand key concepts. Learn design software like Figma and Adobe XD through free tutorials. Building a portfolio of sample interfaces with a focus on usability helps land initial gigs. Useful jumping-off points:

11. Business Intelligence (BI) Expert

Data-driven decisions have become critical these days. Companies are now seeking experts who can extract strategic insights without intensive coding. Business intelligence (BI) expert is one such no-code AI jobs that cater to this need while leveraging analytics.

Job Description: Your core responsibility involves gathering, processing, and visualizing data to uncover patterns, opportunities, and risks to aid business planning. We create interactive BI dashboards, metrics, and models, enabling stakeholders to make smart choices.

Salary Range: The average full-time BI expert in the US earns $68,000 annually. Strong freelancing demand also exists at typical rates of $35 to $55 per hour for analytics services.

Required Skillsets: You need a bachelor’s degree, ideally in statistics, analytics, or a quantitative field, to demonstrate analytical rigor. However, ample online courses can build data literacy skills without formal education. Communication abilities are valued as much as number-crunching skills.

Job Preparation: Take introductory data skills and BI tools training. Building sample interactive reports using BI software like Tableau helps land initial roles. Helpful launch pads:

12. AI Community Manager

As AI adoption accelerates, community management helps address knowledge gaps for non-technical audiences seeking artificial intelligence jobs for non-programmers. Blending soft skills and basic tech literacy, we can enable fruitful exchanges.

Job Description: Your primary responsibility involves building and nurturing online groups discussing developments, use cases, and ethical implications around AI/ML. Key duties include content creation to spark conversations, formulating engagement initiatives, moderating interactions, and analyzing sentiment and feedback.

Salary Range: The average full-time AI community manager in the US earns around $52,000 annually. High freelance demand also exists at typical rates of $30 to $45 per hour for those adept at cultivating digital communities.

Required Skillsets: You need a general awareness of tech/data concepts rather than specialized education. However, taking a few online AI courses to understand tools and techniques is important. Most skills are acquired on the job. Strong written communication abilities are highly valued.

Job Preparation: Learn the basics of AI and community engagement through free online programs. Follow and participate in existing AI groups to observe strategies. Tools like Reddit, Slack, and Discord enable launching your own communities to demonstrate skills. Some of the helpful springboards:

What Are The Key Skills You Need For No-Code AI Jobs?

Landing an AI job without coding requires a strategic combination of complementary skills beyond programming:

AI Literacy: Having a basic grasp of AI terms, techniques, and applications helps collaborate with technical teams seamlessly. Staying updated allows you to make informed choices.
Communication Abilities: Being able to explain AI relevance and contexts across business roles makes you truly invaluable. From presentations to Change management relies on comms.
Analytical Thinking: Assessing data and risks and making data-driven recommendations is vital for roles in ethics, quality testing, business analysis, etc.
Creative Flair: Interface design to community content strategy relies heavily on creative flair to drive adoption and engagement.
Business Savvy: Aligning AI outcomes with overarching commercial goals and targets leads to growth into senior and leadership roles.
Growth Mindset: Being committed to continuous learning allows one to stay relevant as the field progresses rapidly.

Hone this strategic toolkit blending technical aptitude and human skills to unlock thriving part-time weekend jobs or full-time careers in AI!

Final Note

AI jobs without coding demand strategic mindsets and complementary strengths. Blend basic technical literacy with creative flair, business savvy, or ethical rigor to deliver AI solutions focused on humans. Numerous blended roles with attractive salaries await those without programming expertise. Many offer location flexibility, too.

Just as AI promises to transform society, your career possibilities also explode. Upskill yourself on the go while collaborating with coding wizards. Whether in testing, writing, sales, or ideating the next big sell AI chatbots online startup, lead the no-code AI wave today!

Zeeshan Hakmi

Zeeshan Hakmi, CEO of FinancingFocus.com, has been causing a stir in the software development world for over two decades. Armed with an MBA from Governors State University and a knack for problem-solving, this new-age entrepreneur has been leading the charge in User Acceptance Testing (UAT) and project delivery across the USA.
When he’s not busy exploring the limitless potential of artificial intelligence, you can find him penning thought-provoking articles on the intersection of AI, business, and finance. But don’t let his tech-savvy persona fool you – Zeeshan is a nature enthusiast at heart, always ready to trade his keyboard for a hiking trail.
With a passion for innovation and a thirst for adventure, Zeeshan is proof that you can have your code and travel too.