50 Entry-Level AI-Driven Jobs, Earn $60K to $90K in Your First Year

Artificial Intelligence (AI) is no longer just a buzzword—it’s shaping industries, creating opportunities, and changing the way we work. What’s even more exciting is that you don’t need years of experience to start a career in AI. Today, there are dozens of entry-level AI-driven jobs in the USA that pay anywhere between $60,000 to $90,000 in the first year.

If you’re looking for a career path that’s future-proof, flexible, and financially rewarding, AI-driven jobs could be your best move. In this guide, we’ll break down 50 entry-level jobs in AI, how much they pay, and how you can get started.


Why Choose an AI Career?

AI is the backbone of modern technology—powering self-driving cars, smart assistants, healthcare solutions, financial systems, and more. Companies across industries are hiring people with AI-related skills, even at beginner levels.

Here’s why an AI career makes sense:

  • High demand – AI skills are in demand across almost every sector.
  • Great pay – Even entry-level jobs can start at $60K+.
  • Remote opportunities – Many roles are flexible, allowing work-from-home options.
  • Career growth – The AI industry is still young, meaning tons of growth opportunities.

Skills Needed for Entry-Level AI Jobs

You don’t need to be a PhD researcher to land an AI job. Many entry-level roles value practical skills over formal degrees. Some key skills include:

  • Basic knowledge of Python, R, or Java
  • Familiarity with data analysis tools (Excel, SQL, Power BI, Tableau)
  • Understanding of machine learning basics
  • Strong problem-solving and analytical thinking
  • Willingness to learn and adapt quickly

Platforms like Coursera, edX, and Udacity offer beginner-friendly AI courses to help you build these skills.


50 Entry-Level AI-Driven Jobs That Pay $60K–$90K

Here’s a list of AI-driven jobs that are beginner-friendly yet lucrative.

1–10: AI-Powered Data Roles

  1. Data Analyst – Interpret and analyze data patterns ($65K–$75K).
  2. Junior Data Scientist – Assist with machine learning models ($70K–$85K).
  3. Data Engineer (Entry-Level) – Build data pipelines ($75K–$85K).
  4. Business Intelligence Analyst – Use AI tools for insights ($65K–$80K).
  5. Operations Analyst – Apply AI for efficiency ($60K–$70K).
  6. Research Data Assistant – Support AI research projects ($65K–$72K).
  7. Junior Machine Learning Analyst – Work with basic ML algorithms ($70K–$80K).
  8. Customer Insights Analyst – Leverage AI to study consumer behavior ($65K–$75K).
  9. Healthcare Data Analyst – Analyze patient and clinical data ($70K–$85K).
  10. Marketing Data Analyst – Use AI to track campaigns ($65K–$78K).

11–20: AI in Software & Automation

  1. AI Support Engineer – Help businesses implement AI tools ($65K–$75K).
  2. Machine Learning Intern (Full-Time Role) – Entry research support ($60K–$70K).
  3. Junior Python Developer (AI Projects) – Assist in coding AI models ($65K–$80K).
  4. Automation Engineer (Entry-Level) – Build simple AI-driven processes ($70K–$85K).
  5. AI Quality Assurance Tester – Test AI-powered apps ($60K–$72K).
  6. Robotics Process Automation (RPA) Associate – Develop automation scripts ($70K–$80K).
  7. Junior Cloud Engineer (AI Focus) – Work on AI cloud services ($75K–$85K).
  8. AI Solutions Analyst – Assist in deploying AI platforms ($65K–$78K).
  9. Software Support Specialist (AI Products) – Provide client support ($60K–$70K).
  10. AI Algorithm Tester – Validate AI algorithms ($65K–$75K).

21–30: AI in Customer Experience

  1. Chatbot Developer (Entry-Level) – Build AI-driven bots ($65K–$75K).
  2. Customer Support Analyst (AI Tools) – Handle AI-assisted support tickets ($60K–$70K).
  3. AI Training Data Specialist – Train AI with real-world data ($65K–$72K).
  4. AI Content Moderator – Use AI systems to filter online content ($60K–$70K).
  5. Voice AI Specialist (Entry-Level) – Work with voice-recognition systems ($65K–$75K).
  6. AI Product Assistant – Help in rolling out AI-based customer products ($70K–$80K).
  7. E-commerce AI Analyst – Monitor product recommendations ($65K–$78K).
  8. Virtual Assistant Designer – Design AI-powered assistants ($70K–$82K).
  9. Junior UX Designer (AI Focus) – Improve AI-driven interfaces ($65K–$75K).
  10. AI Customer Experience Coordinator – Enhance AI adoption in service teams ($65K–$80K).

31–40: AI in Business & Finance

  1. Fraud Detection Analyst – Use AI to detect suspicious activity ($70K–$85K).
  2. Risk Analyst (AI Tools) – Assist in risk management ($65K–$75K).
  3. Credit Scoring Analyst – Work on AI-driven credit models ($70K–$80K).
  4. AI Compliance Assistant – Help companies follow AI policies ($65K–$75K).
  5. Insurance Data Analyst – Use AI to evaluate claims ($65K–$80K).
  6. Financial AI Assistant – Support AI investment tools ($70K–$85K).
  7. Banking Automation Specialist – Implement AI in banking services ($65K–$78K).
  8. Junior Blockchain & AI Analyst – Entry-level blockchain-AI integration ($70K–$90K).
  9. AI Research Assistant (Finance) – Support fintech AI research ($65K–$78K).
  10. Trading Analyst (AI Tools) – Work with AI-based stock trading tools ($70K–$85K).

41–50: AI in Specialized Industries

  1. Healthcare AI Technician – Support AI healthcare platforms ($70K–$85K).
  2. Telemedicine Analyst – Analyze AI patient care data ($65K–$78K).
  3. Cybersecurity Analyst (AI Tools) – Detect cyber threats using AI ($70K–$90K).
  4. AI Education Assistant – Support AI-driven e-learning tools ($60K–$70K).
  5. Manufacturing Automation Associate – AI in production lines ($65K–$75K).
  6. Smart City Data Analyst – Work with urban AI projects ($70K–$85K).
  7. Transportation AI Assistant – Support AI in logistics & delivery ($65K–$78K).
  8. Self-Driving Vehicle Tester (Entry-Level) – Assist in AV testing ($70K–$85K).
  9. AI Agriculture Analyst – Help optimize farming with AI ($65K–$75K).
  10. Renewable Energy Data Analyst (AI Focus) – Apply AI to energy systems ($70K–$85K).

How to Land an AI-Driven Job

Even if you’re new to AI, here’s how you can boost your chances:

  1. Take Online AI Courses – Platforms like Udacity AI Nanodegree are designed for beginners.
  2. Build a Portfolio – Create small AI projects (chatbots, ML models, dashboards).
  3. Learn Python & SQL – These are essential in almost every AI role.
  4. Join AI Communities – Online forums, LinkedIn groups, and GitHub projects help with networking.
  5. Apply on Job Boards – Check Indeed AI Jobs and LinkedIn regularly.

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Final Thoughts

AI isn’t just for engineers or tech experts—it’s opening doors for people from all backgrounds. With so many entry-level AI-driven jobs paying $60K–$90K in the first year, now is the perfect time to start building your AI career.

Whether you want to work in data, finance, healthcare, or customer experience, AI is shaping the future of work. By learning the basics, building a portfolio, and applying strategically, you can land a rewarding job in this fast-growing field.

So, if you’ve been wondering how to break into AI—start today. Your first AI job might be closer than you think.

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