Internship Ai Data Entry information
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$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
How much do internship ai data entry jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for internship ai data entry in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
To thrive as an AI Data Entry Intern, you need strong attention to detail, basic data management skills, and familiarity with spreadsheet software, typically supported by a high school diploma or current enrollment in a relevant degree program. Experience with data entry tools like Microsoft Excel, Google Sheets, and occasionally basic knowledge of AI annotation platforms is valuable. Strong organizational skills, time management, and the ability to work accurately under supervision are standout soft skills. These competencies ensure high-quality, error-free data that is essential for training reliable AI models and supporting efficient machine learning workflows.
An AI Data Entry Internship is a temporary position where interns assist in managing and processing data used for training artificial intelligence systems. Interns typically handle tasks such as labeling data, verifying information, and preparing large datasets to ensure data quality and accuracy for machine learning models. This role often provides hands-on experience with data management tools and exposure to AI technologies, making it valuable for students or recent graduates interested in data science or AI fields. Interns may also collaborate with data scientists, engineers, and other team members to support ongoing AI projects.
Interns in AI data entry roles often encounter challenges such as maintaining high accuracy while handling large volumes of data and adapting to new software platforms quickly. To overcome these, it's important to develop strong attention to detail, ask questions when unclear about data labeling guidelines, and actively seek feedback from supervisors. Collaborating with team members and utilizing available training resources can also help interns grow their skills and confidence in the role.
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