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Part Time Ai Data Trainer information

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$13

$31

$63

How much do part time ai data trainer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for part time ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are some common challenges faced by part-time AI Data Trainers, and how can they be managed?

Part-time AI Data Trainers often encounter challenges such as balancing multiple projects or adapting quickly to changing data labeling guidelines. Additionally, maintaining consistency and quality in annotations while working limited hours can be demanding. To manage these challenges, it’s helpful to establish a structured routine, seek clarification from team leads when guidelines change, and utilize collaborative tools for feedback. Effective communication with peers and supervisors ensures alignment and helps maintain high data quality, which is critical to AI model performance.

What is the difference between Part Time Ai Data Trainer vs Data Annotator?

AspectPart Time Ai Data TrainerData Annotator
Required CredentialsBasic technical skills, training in AI conceptsMinimal; often on-the-job training
Work EnvironmentRemote or office-based, collaborativeRemote or on-site, task-focused
Employer & Industry UsageTech companies, AI startups, research firmsTech companies, data services, AI development

Part Time Ai Data Trainers typically have some technical background and focus on training AI models by providing labeled data and feedback. Data Annotators mainly perform data labeling tasks with minimal training. While both roles support AI development, trainers often require more technical knowledge and engage in training processes, whereas annotators focus on data labeling tasks.

What are the key skills and qualifications needed to thrive as a Part Time AI Data Trainer, and why are they important?

To thrive as a Part Time AI Data Trainer, you need strong analytical skills, attention to detail, and familiarity with data labeling, often supported by a background in computer science or related fields. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python is beneficial. Excellent communication, reliability, and an ability to follow complex guidelines are standout soft skills for this role. These skills ensure high-quality data preparation, which is critical for training accurate and effective AI models.

What are Part Time AI Data Trainers?

Part Time AI Data Trainers are professionals who work on a part-time basis to help train artificial intelligence systems by labeling, annotating, or reviewing data such as text, images, or audio. They play a crucial role in improving the accuracy of AI models by providing high-quality, human-verified data used for machine learning. Their tasks often include evaluating AI-generated outputs, correcting mistakes, and following specific guidelines provided by AI companies or research organizations. This role is popular for people seeking flexible work hours and remote opportunities, as much of the work can be done online.
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Part Time Ai Data Trainer jobs near you
Video Field Collector - AI Training Data

Video Field Collector - AI Training Data

micro1 AI

Huntington, WV • Remote

$13/hr

Part-time

Posted 6 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts 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 precise motion data 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.


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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