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Day Shift Ai Data Collection information

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$16

$25

$31

How much do day shift ai data collection jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for day shift ai data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Day Shift AI Data Collection?

In a Day Shift AI Data Collection role, your day typically involves gathering, labeling, and organizing various types of data—often images, text, or audio—that will be used to train AI models. You'll work closely with data engineers and machine learning teams to ensure the data is accurate, high-quality, and collected according to project specifications. Collaboration with team members is common, especially when troubleshooting data inconsistencies or meeting tight project deadlines. Attention to detail and the ability to follow protocols are crucial, as your work directly impacts the performance of AI systems.

What is the difference between Day Shift Ai Data Collection vs Data Labeling Specialist?

AspectDay Shift Ai Data CollectionData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; daytime hoursOffice or remote; daytime hours
Industry UsageAI training data collection for machine learningAnnotating and labeling data for AI models
Job FocusGathering raw data through various methodsAdding labels and annotations to datasets

Day Shift Ai Data Collection involves gathering raw data for AI training, while Data Labeling Specialists focus on annotating that data. Both roles often work in similar environments and require comparable skills, but their core tasks differ in data handling stages.

What is a Day Shift AI Data Collection job?

A Day Shift AI Data Collection job typically involves gathering, organizing, and labeling data during regular daytime hours to help train and improve artificial intelligence systems. Workers in this role may be required to collect data from various sources, verify its accuracy, and ensure it is properly formatted for use by AI models. This job is important because high-quality data is essential for developing reliable and effective AI applications. The tasks may include image tagging, audio transcription, or collecting text data, depending on the specific project requirements.

What are the key skills and qualifications needed to thrive as a Day Shift AI Data Collection Specialist, and why are they important?

To excel as a Day Shift AI Data Collection Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data collection protocols, often supported by a high school diploma or relevant experience. Proficiency with data entry software, spreadsheet tools like Microsoft Excel or Google Sheets, and sometimes specialized data annotation platforms is typically required. Reliability, time management, and effective communication are essential soft skills for maintaining data quality and collaborating with team members. These skills ensure accurate, efficient data gathering which is critical for developing robust AI models and supporting organizational goals.
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What cities are hiring for Day Shift Ai Data Collection jobs? Cities with the most Day Shift Ai Data Collection job openings:
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Day Shift Ai Data Collection jobs near you
Infographic showing various Day Shift 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 $52,640 per year, or $25.3 per hour.
AI Data Collection Specialist - Video (Remote)

AI Data Collection Specialist - Video (Remote)

micro1 AI

Billings, MT • Remote

$13/hr

Part-time

Posted 6 days ago

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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