AI Agent skills trigger freelancer hiring frenzy (even non-tech roles)

This article explores the growing demand for freelance AI Agent specialists and highlights a crucial preliminary step: even before these AI agents are developed, a skilled workforce, not exclusively from technical backgrounds, is essential to lay the groundwork for their success.

Businesses overwhelmed by the complexities of deploying AI agents are driving a massive surge in freelance hiring, with demand for specialists skyrocketing by 18,347% in the last six months, according to Fiverr International data.

The platform’s spring 2025 Business Trends Index, which has been analysing millions of searches since September 2024, revealed that companies are outsourcing crucial AI implementation. Simultaneously, demand for freelancers who can “humanise text and copy” has jumped 641%, highlighting the need for a human touch in AI-generated content.

This rapid AI agent adoption is fuelled by technological leaps that now allow these “digital colleagues” to autonomously manage tasks such as email correspondence, meeting scheduling, and customer service inquiries. While the potential market is estimated to reach $1 trillion, many businesses are grappling with the practicalities of integration, compelling them to seek external expertise.

For example, Microsoft’s Azure AI Foundry is now used by developers at more than 70,000 enterprises and digital native companies, including Atomicwork, Epic, Fujitsu, Gainsight, H&R Block, and LG Electronics, to design, customise, and manage AI apps and agents.

“In just four months, over 10,000 organisations have adopted our new Agent Service to build, deploy, and scale agentic systems. More than 230,000 organisations, including 90% of the Fortune 500, have already used Microsoft Copilot Studio,” said Microsoft.

Orders for freelancers are through the roof

Mark Kashef, an AI consultant on Fiverr and CEO of Prompt Advisors, confirms this trend. “Nearly 30% of my Fiverr orders are for AI agent development, with demand shifting dramatically from simple chatbots to multi-agent systems working across web, WhatsApp, and voice channels.”

He said, “Businesses have pivoted from asking ‘What can AI do?’ to ‘How quickly can we integrate AI into our workflows?’,  with automation, voice, and integration requests now comprising 49% of my project pipeline.”

Yoav Hornung, Head of Verticals at Fiverr, attributes this demand for agile talent to a knowledge gap: “Despite the buzz, most businesses don’t fully understand AI agents, driving freelance demand.” He added that freelancers are crucial for making AI content stand out with creativity.

It takes a village of freelancers to humanise an AI agent

Gabrielle Gerbus, a freelance brand creator and strategist on Fiverr, initially anticipated a decline in her services with the rise of tools such as ChatGPT. “However, I get almost daily requests when it comes to editing AI-written copy so it still sounds human.”

This is reflected in the substantial 641% increase in searches for freelancers skilled in “humanising AI content”. That can include refining chatbot scripts, marketing emails, and website copy to sound more natural and engaging.

Beyond AI agents, the data shows surging demand for freelance specialists in automation tools like Go High Level (+1,489%) and Make.com (+1,083%), and platform experts for Substack (2,028%) and Beehiiv (1,211%). This reflects a broad need for external expertise in key digital areas.

How can non-tech freelancers get in on the hiring spree

Ultimately, crafting a winning AI agent isn’t just about the tech. You need a mix of skills. It takes a village.

While the coders build the engine, non-technical people are key to making sure it actually works for people. They’re the ones who ensure the agent understands users, speaks their language, and delivers value, which will lead to sales and repurchases. Think of them as the vital bridge connecting AI smarts with real-world human needs.

Here are some examples:

What’s the Agent’s purpose and persona?

Before a single line of code is written, the agent’s role, target audience, and desired personality need to be clearly defined. Non-technical freelancers with backgrounds in business analysis, marketing, communications, and even creative writing can lead workshops and conduct research to understand the client’s needs, map out user journeys, and create a compelling and appropriate persona for the AI agent. This includes determining its tone of voice, communication style, and how it should interact with users.  

Design the User Experience (UX) and User Interface (UI)

A technically brilliant AI agent is useless if it’s frustrating to interact with. UX designers can map out intuitive conversational flows, ensuring the agent is easy to understand and navigate. They can create wireframes and prototypes of the interface, focusing on clarity and efficiency. UI designers then translate these designs into visually appealing and on-brand interfaces, whether it’s a chatbot window, voice interface prompts, or integrated application elements.  

Input and develop an AI agent’s knowledge base and content

AI agents are only as good as the information they have access to. Content writers, technical writers, and subject matter experts can develop the FAQs, knowledge articles, product descriptions, and other textual or multimedia content that the AI agent will use to answer questions and perform tasks. They can make sure the information is accurate, up-to-date, and presented in a clear and accessible way for the AI to process and for users to understand.

Train the AI agent with natural language data

While the underlying AI models are technical, the process of fine-tuning them often involves feeding them vast amounts of natural language data. Linguists, copywriters, and editors can help curate and refine this data, ensuring it’s diverse, representative of the target audience’s language, and free of errors. This helps the AI understand nuances in language and respond more effectively.

Test and provide user feedback

Non-technical freelancers are invaluable when it comes to testing AI agents from a user perspective. Beta testers, usability testers, and those with strong communication skills can interact with the agent, identify areas of confusion or frustration, and provide feedback on its performance, clarity, and overall user experience.

Develop training materials for end-users

Once the AI agent is deployed, end-users will need to understand how to interact with it effectively. Instructional designers and technical writers can create online user manuals, tutorials (i.e. demo videos), and FAQs to guide users and ensure successful adoption.

Market to your target audience

Marketing and communications specialists can develop strategies to introduce a universal agent for multiple customers, a specific sector or an in-house bespoke client product. One way to generate buzz is to create a landing page solely for an AI agent’s waiting list. A demo video could highlight its benefits and encourage its use.

After reading this report, we hope you have a better grasp of what building an AI agent entails and how freelancers with a myriad of skills and experience can take advantage of this hiring spree.

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