You’ve heard a lot about AI. It’s in the news, in your phone, and now—it’s becoming a big part of tech jobs too. But the big question is:
What can you actually do with AI and Machine Learning skills after training?
This article breaks it down in a simple, no-jargon way. If you’ve completed an AI course or are thinking about one, here are five real jobs you can go for next. All of them are in demand, and most of them don’t require a master’s degree or years of experience.
1. Machine Learning Engineer
This is one of the top jobs in AI today. As a Machine Learning (ML) Engineer, you help computers learn from data and make predictions.
What you do:
- Train models to detect patterns
- Use Python and tools like TensorFlow
- Build features used in real products
Average Salary in the U.S.: $165,000
Source: Talent.com
It’s a great fit if you enjoy solving problems and want to work on the tech side of AI.
2. AI Developer or AI Engineer
This is for developers who want to add AI to their coding skills. You’ll build smart features into apps, like chatbots, face detection, or recommendation systems.
What you do:
- Write code that connects with AI models
- Use Python, APIs, and cloud tools
- Work with software teams to make apps smarter
Average Salary in the U.S.: $145,080
Source: Coursera
If you already know some programming, this is a natural next step.
3. Data Scientist (Entry Level)
Data Scientists take lots of data, study it, and find answers to business problems. You’ll use AI tools to help companies make better decisions.
What you do:
- Analyze numbers and trends
- Use Python, SQL, and ML tools
- Create reports that help leaders plan
Average Salary in the U.S.: $127,663
Source: Indeed
You don’t need to be an expert in math. Most of the work involves tools you’ll learn in a good AI training.
4. AI QA Tester or Automation Tester
Testing AI systems is different from testing regular software. Here, you check if the machine learning models are working correctly.
What you do:
- Test the results of AI models
- Write test scripts using Python
- Make sure AI tools are reliable
Average Salary in the U.S.: $91,582
Source: Glassdoor
This role is great for people coming from manual testing or automation testing backgrounds.
5. AI Product Analyst
Not every AI role is about coding. As an AI Product Analyst, you work between the business and tech teams. Your job is to help shape the AI product based on user needs.
What you do:
- Write feature requirements for AI products
- Talk to users and suggest improvements
- Analyze how well the AI model is performing
Average Salary in the U.S.: $102,262
Source: Glassdoor
If you have good communication skills and understand how AI tools work, this role is a strong match.
Final Thoughts
AI and Machine Learning are opening doors in every part of tech. And you don’t need to be a data scientist with 10 years of experience to get started.
Many people—software testers, junior developers, career switchers—are already learning AI to grow their careers. If you’re ready to explore this path, the next step is to take the right course and build hands-on experience.
We’ve built the AI for Developers Masterclass to help people like you learn AI in a simple, practical way.
- No advanced math required
- Real projects with real data
- Job-ready skills for the U.S. market
Ready to take the next step?
👉 Join the free demo on May 25
📞 Call us at (802)-518-0095
🔗 Visit the course page to get started
