[Annotations] Operations Associate
Scale AI
location_onMexico City, MX
workFull-time
schedule1d ago
OperationsAnalyticsEngineering
View Details →Entry Level AI Jobs
You do not need a PhD or years of experience to start a career in AI. The industry is growing fast, and companies are actively hiring for junior positions, internships, and AI training roles that welcome newcomers.
From data annotation and AI training to junior engineering, marketing, and design roles, entry-level AI jobs offer competitive salaries and a clear path to career growth. Many companies provide on-the-job training, mentorship programs, and opportunities to learn from senior professionals. Browse the latest openings below to find your first role in AI.
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Frequently Asked Questions
Do I need a degree for entry-level AI jobs?
Not always. While many AI engineering roles prefer a degree in computer science or a related field, there are growing opportunities in AI training, data annotation, and prompt engineering that value practical skills and certifications over formal degrees. Online courses from platforms like Coursera, fast.ai, and Google AI can help you build the skills employers want.
What skills do entry-level AI jobs require?
Common requirements include Python programming, basic statistics, and familiarity with ML frameworks like TensorFlow or PyTorch. For non-engineering roles like AI training and annotation, strong attention to detail, analytical thinking, and domain expertise are more important than coding skills.
How much do entry-level AI jobs pay?
Entry-level AI salaries vary by role and location. Junior ML engineers typically earn $80,000-$120,000 in the US, while AI training and annotation roles start around $40,000-$60,000. Remote positions may offer location-adjusted compensation.
Can I get a remote entry-level AI job?
Yes! Many entry-level AI positions are available remotely, especially AI training, data annotation, and prompt engineering roles. Check our remote AI jobs page for fully remote opportunities.