Internship Ai information
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$13.46 - $15.76
5% of jobs
$15.76 - $18.05
7% of jobs
$20.30 is the 25th percentile. Wages below this are outliers.
$18.05 - $20.35
13% of jobs
$20.35 - $22.64
9% of jobs
The median wage is $24.49 / hr.
$22.64 - $24.93
19% of jobs
$24.93 - $27.23
18% of jobs
$27.80 is the 75th percentile. Wages above this are outliers.
$27.23 - $29.52
14% of jobs
$29.52 - $31.82
7% of jobs
$31.82 - $34.11
4% of jobs
$34.11 - $36.41
0% of jobs
$36.41 - $38.70
3% of jobs
How much do internship ai jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for internship ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.
AI internships are temporary positions for students or recent graduates to gain practical experience working with artificial intelligence technologies. Interns typically assist with tasks such as data analysis, model development, machine learning, and research under the guidance of experienced AI professionals. These opportunities help interns build technical skills, expand their professional network, and gain insights into real-world AI applications, which can be valuable for future careers in the field.
AI interns are usually involved in hands-on projects that support ongoing machine learning, data analysis, or software development initiatives. Depending on the organization, you may work on tasks such as building data pipelines, developing or testing models, cleaning datasets, or supporting research experiments. Collaboration is often key, as interns work closely with experienced engineers, data scientists, and sometimes even product teams to contribute to real-world applications. These projects help interns gain practical experience and build a portfolio of work that demonstrates their skills.
To thrive as an AI Intern, you typically need a solid understanding of programming (Python, Java, or C++), foundational knowledge in machine learning concepts, and a relevant academic background in computer science or a related field. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills set exceptional candidates apart. These competencies are crucial for successfully contributing to AI projects, learning quickly, and collaborating within dynamic technical teams.
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What states have the most Internship Ai jobs?
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