Which AI Roles Are Missing in Georgia — and Why Aren’t These Positions Developing?

Georgia’s AI job market has grown noticeably in recent years, with new openings and rising demand for both technical and non-technical talent. But according to BTU’s 2025 research, there are several key roles that are well-established globally yet virtually nonexistent in Georgia. This gap may represent one of the biggest barriers to the country’s AI ecosystem maturing fully.

The roles in question include: prompt engineers, AI ethics specialists, model trainers, conversational AI designers, and AI product coordinators. These are not futuristic job titles — they are standard in global tech companies and AI startups, each with clear responsibilities and required skillsets. In Georgia, however, these functions are either bundled into broader job descriptions or entirely absent from public listings.

Take prompt engineers, for example — specialists who craft effective instructions for generative AI models. Globally, there are already dedicated training programs and certifications for this role, and demand is high. In Georgia, there is not a single job listing under that title.

Similarly, positions focused on ethical oversight of AI systems are missing. BTU’s report notes that there are no professionals tasked with auditing model bias, protecting user data, or validating AI-generated content. While Georgia does have general policy frameworks on responsible AI, the lack of hands-on specialists makes real accountability difficult.

Another major gap is in AI model trainers — individuals responsible for preparing datasets, evaluating results, and improving models through feedback. In many international companies, this is a core function, especially for models that rely on supervised learning or human-in-the-loop systems. In Georgia, this role is either ignored or absorbed under generic technical positions.

Why are these roles missing? There are three main reasons.
First is market scale — most local companies are not building complex AI products that require role specialization. Second is a skills gap — these jobs are rarely taught in universities or covered in local training programs. Third is lack of standardization in job postings — companies either don’t use the global terminology or group these functions under broad titles like “AI specialist,” making them invisible.

This gap is not just about employment. It speaks to how structurally prepared Georgia’s AI ecosystem really is. Without clear recognition of specialized functions, professionals can’t see career paths, and employers can’t assess the strategic value of these roles.

The next step could be standardizing job profiles, adapting training curricula, and importing best practices from abroad. The future of AI employment in Georgia will not rely solely on programmers — it will depend on whether the full range of AI-related roles can take shape and gain recognition in the local job market.

The BTU’s full study — “AI Sector in Georgia: Current Trends and Future Potential” — is available at the following link.