{"id":196003,"date":"2026-01-28T12:48:58","date_gmt":"2026-01-28T11:48:58","guid":{"rendered":"https:\/\/liora.io\/en\/?p=196003"},"modified":"2026-08-09T19:52:38","modified_gmt":"2026-08-09T18:52:38","slug":"all-about-working-in-ai","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/all-about-working-in-ai","title":{"rendered":"Working in AI: Professions, salaries, training, and tips for success"},"content":{"rendered":"\n

Are you interested in a career in artificial intelligence but uncertain where to begin? Good news: this rapidly growing industry is looking for a wide range of talents, far beyond just engineers. Jobs, salaries, training\u2026 Here’s everything you need to know to start or jumpstart your career in AI.<\/strong><\/p>\n\n\n

Why consider a career in artificial intelligence?<\/h2>\n\n\n

An industry on the rise in the age of datafication<\/h3>\n\n\n

Artificial intelligence<\/a> is ubiquitous. Every day, we generate billions of data points through our online activities, connected devices, and simple searches. This datafication<\/strong> of the world makes AI a crucial tool for innovation, prediction, and automation.<\/p>\n\n\n

This sector is rapidly growing<\/strong>, fueled by technological advances, business demands, and public expectations. In 2025, not comprehending AI could result in being dominated by it<\/strong>. It’s better to become an active participant.<\/p>\n\n\n

Diverse profiles sought: it’s not just for engineers<\/h3>\n\n\n

Working in AI doesn’t mean you\u2019ll be coding all day long. Quite the opposite. While technical profiles<\/strong> like data scientists<\/a> or AI engineers are in demand, hybrid profiles<\/strong> are also needed: project management, ethics, UX, communication, marketing\u2026<\/p>\n\n\n

If you’re creative, a career switcher, or just curious about a new field, there’s a place for you here. What’s crucial is contributing human value<\/strong> to the machine. No algorithm can replace that.<\/p>\n\n\n

Solid prospects despite fears of job losses<\/h3>\n\n\n

It’s often suggested that AI will replace jobs. That’s partly true… and completely false. Yes, some roles are evolving. But new, more skilled, strategic, and creative positions are emerging<\/strong>.<\/p>\n\n\n

AI doesn’t eliminate work; it transforms<\/strong> it. By training now, you’re ensuring a competitive edge<\/strong>. Even better, you’ll be part of the team shaping AI’s future.<\/p>\n\n\n

\"Illustration<\/figure>\n\n\n
Training to work in AI<\/a><\/div><\/div>\n\n\n

What are the job prospects in artificial intelligence for 2025?<\/h2>\n\n\n

Data Scientist<\/h3>\n\n\n

The Data Scientist<\/strong> is the brain behind the data. They gather, clean, analyze, and model to make forecasts. They are proficient in Python<\/a>, statistics, machine learning<\/a>\u2026 but most importantly, they know how to ask the right questions<\/strong>.<\/p>\n\n\n

This is one of the most sought-after and highest-paying<\/strong> roles in the field.<\/p>\n\n\n

Artificial Intelligence Engineer<\/h3>\n\n\n

The AI engineer<\/strong> develops intelligent systems capable of learning, adapting, and acting. They work on everything from computer vision to NLP<\/a>, and neural networks, among others.<\/p>\n\n\n

It’s a technical yet thrilling<\/strong> role, central to innovation.<\/p>\n\n\n

Machine Learning Engineer<\/h3>\n\n\n

The Machine Learning Engineer<\/a> specializes in machine learning algorithms. Their tasks involve training models, tuning parameters, and optimizing performance.<\/p>\n\n\n

This role demands rigor, curiosity, and a tenacious approach to algorithms<\/strong>.<\/p>\n\n\n

Natural Language Processing (NLP) Specialist<\/h3>\n\n\n

Are you passionate about words and machines? The NLP Specialist<\/strong> bridges human language and computing. They work on chatbots<\/a>, machine translators, voice assistants<\/a>, and more.<\/p>\n\n\n

This is an exciting field where linguistics meets AI<\/strong>.<\/p>\n\n\n

Prompt Engineer and AI Trainer<\/h3>\n\n\n

These are two new roles emerging with the rise of generative AIs. The Prompt Engineer crafts the best queries for precise outcomes. The AI Trainer<\/strong> focuses on training models<\/strong> to better understand the world.<\/p>\n\n\n

These roles are perfect for those who love experimentation, testing, and refining.<\/p>\n\n\n

What are the salaries in artificial intelligence?<\/h2>\n\n\n

Salary breakdown by role (junior\/senior)<\/h3>\n\n\n

Salaries in AI are attractive. Here’s a snapshot:<\/p>\n\n\n