Intern Ai Data Annotation information
See Chicago, IL salary details
$12.38 - $15.20
7% of jobs
$17.97 is the 25th percentile. Wages below this are outliers.
$15.20 - $18.01
18% of jobs
$18.01 - $20.82
22% of jobs
The median wage is $21.26 / hr.
$20.82 - $23.64
17% of jobs
$25.33 is the 75th percentile. Wages above this are outliers.
$23.64 - $26.45
18% of jobs
$26.45 - $29.27
8% of jobs
$29.27 - $32.08
5% of jobs
$32.08 - $34.89
1% of jobs
$34.89 - $37.71
0% of jobs
$37.71 - $40.52
2% of jobs
$40.52 - $43.34
1% of jobs
How much do intern ai data annotation jobs pay per hour?
As of Aug 13, 2026, the average hourly pay for intern ai data annotation in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.
To thrive as an Intern AI Data Annotation Specialist, you need strong attention to detail, basic data handling skills, and familiarity with common data formats, often supported by a background in computer science or related fields. Experience with data labeling tools, annotation platforms, and sometimes basic knowledge of Python or similar scripting languages is typically required. Reliability, patience, and effective communication are essential soft skills for ensuring accuracy and collaborating with team members. These competencies are crucial for generating high-quality annotated datasets that enable accurate machine learning model development.
As an AI Data Annotation Intern, your typical day involves labeling and categorizing data such as images, audio, or text to train machine learning models. You’ll use specialized annotation tools and follow detailed guidelines to ensure consistency and accuracy. Collaboration is key—you’ll often communicate with data scientists, machine learning engineers, and project managers to clarify requirements and provide feedback on ambiguous cases. This teamwork helps ensure the data you annotate aligns with project goals and quality standards, making your contributions vital to the development of AI solutions.
An Intern AI Data Annotation is responsible for labeling and categorizing data, such as images, text, or audio, to help train artificial intelligence models. They ensure data is accurately tagged according to specific guidelines so that AI systems can learn to recognize patterns or make predictions. This role often involves using specialized annotation tools and requires attention to detail to maintain high-quality datasets. Interns may also assist with reviewing and correcting data, as well as collaborating with data scientists and engineers to improve annotation processes.
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