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$31

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

As of Jul 24, 2026, the average hourly pay for flexible 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 is Flexible AI Data Collection?

Flexible AI Data Collection refers to gathering and preparing various types of data—including text, images, audio, or video—for use in training artificial intelligence (AI) systems. These roles often involve tasks like labeling data, transcribing audio, or categorizing images. The 'flexible' aspect means that work schedules and project types can vary, allowing contributors to choose tasks that fit their availability. Such positions are essential for improving AI accuracy and are typically offered remotely by tech companies or data annotation platforms.

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

To thrive as a Flexible AI Data Collection Specialist, you need strong analytical abilities, attention to detail, and familiarity with data management, often supported by a background in computer science or related fields. Proficiency with data annotation tools, spreadsheet software, and sometimes knowledge of programming languages like Python is typically required. Excellent communication, adaptability, and time management are standout soft skills in this role. These capabilities are crucial for ensuring accurate, high-quality datasets that power effective AI model development.

What are some common challenges faced in a Flexible AI Data Collection role, and how can they be managed?

In a Flexible AI Data Collection position, one of the main challenges is ensuring data quality and consistency while working independently or on varying schedules. Since tasks often involve labeling or collecting data from diverse sources, attention to detail and following precise guidelines are crucial. Communication with project managers or team leads is important when clarifications are needed, and staying organized helps manage multiple tasks efficiently. Regular feedback sessions and utilizing available support resources can help address challenges quickly and maintain high standards.

What is the difference between Flexible Ai Data Collection vs Data Annotator?

AspectFlexible Ai Data CollectionData Annotator
CredentialsBasic technical skills, familiarity with data collection toolsAttention to detail, understanding of annotation guidelines
Work EnvironmentRemote or on-site, often involves fieldwork or online platformsPrimarily remote, working with annotation software
Industry UsageAI, machine learning, data servicesAI, machine learning, data labeling
Common TasksGathering and organizing data from various sourcesLabeling and annotating data for model training

Flexible Ai Data Collection involves gathering raw data from multiple sources, focusing on data acquisition. In contrast, Data Annotator specializes in labeling and preparing data for AI models. Both roles are essential in AI development but differ in their core responsibilities and skill requirements.

More about Flexible Ai Data Collection jobs
What cities are hiring for Flexible Ai Data Collection jobs? Cities with the most Flexible Ai Data Collection job openings:
What are the most commonly searched types of Ai Data Collection jobs? The most popular types of Ai Data Collection jobs are:
What states have the most Flexible Ai Data Collection jobs? States with the most job openings for Flexible Ai Data Collection jobs include:
What job categories do people searching Flexible Ai Data Collection jobs look for? The top searched job categories for Flexible Ai Data Collection jobs are:
Flexible Ai Data Collection jobs near you
Infographic showing various Flexible Ai Data Collection job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote 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

Indianapolis, IN • Remote

$13/hr

Part-time

Posted 2 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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