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How much do internship ai data collection jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for internship ai data collection 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.

What is the difference between Internship Ai Data Collection vs Data Analyst Intern?

AspectInternship Ai Data CollectionData Analyst Intern
Required CredentialsBasic knowledge of AI, data collection tools, and programmingBasic statistics, Excel, and data analysis skills
Work EnvironmentData collection, labeling, and preprocessing in tech or AI companiesData analysis, reporting, and visualization in various industries
Employer & Industry UsagePrimarily in AI, machine learning, and tech startupsAcross finance, marketing, healthcare, and tech sectors

Internship Ai Data Collection focuses on gathering and preparing data for AI models, while Data Analyst Interns analyze and interpret data to support business decisions. Both roles require foundational data skills but differ in their core activities and industry applications.

What is an Internship in AI Data Collection?

An Internship in AI Data Collection is a temporary, entry-level position where interns assist in gathering, organizing, and labeling data used to train artificial intelligence models. Interns may work with various data types, such as images, text, or audio, and help ensure data accuracy and quality. This role is essential in the AI development process, as high-quality data is crucial for building effective AI systems. Interns also gain hands-on experience with data management tools and learn about the ethical considerations of data handling.

What types of tasks can I expect to handle during an AI Data Collection internship?

As an AI Data Collection intern, you will typically work on gathering, labeling, and organizing large datasets that are used to train machine learning models. Your daily responsibilities may include annotating images or text, validating data quality, and assisting with data pre-processing tasks. You may also collaborate with data scientists and engineers to ensure data accuracy and integrity, and gain exposure to tools and processes commonly used in the AI industry. This hands-on experience is valuable for understanding the foundations of AI development and can open doors to more advanced roles in data science or machine learning.

What are the key skills and qualifications needed to thrive as an Internship AI Data Collection specialist, and why are they important?

To thrive in an Internship AI Data Collection role, you need strong analytical skills, attention to detail, and foundational knowledge in data management or computer science. Familiarity with data labeling tools, spreadsheets, and possibly Python or SQL is beneficial, along with any coursework or certifications in data science or AI. Strong communication, organization, and problem-solving abilities help interns efficiently collaborate and ensure data accuracy. These skills are vital for producing high-quality datasets that enable effective AI model training and development.
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Internship Ai Data Collection jobs near you
Infographic showing various Internship Ai Data Collection job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
AI Data Collection Specialist - Video (Remote)

AI Data Collection Specialist - Video (Remote)

micro1 AI

Cincinnati, OH • Remote

$13/hr

Part-time

Posted yesterday

Job description

Role Title: At-Home Video Recorder


Location: Remote - based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture household tasks using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure:

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability:

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


  1. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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