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Remote Labeler Jobs in Oklahoma (NOW HIRING)

micro1 AI

First-Person AI Video Trainer

Tulsa, OK · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Norman, OK · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Flywheel Energy

Senior Cybersecurity Analyst

Oklahoma City, OK · On-site +1

$92K - $119K/yr

Information Protection & Data Security -- data classification, sensitivity labeling, data loss ... Evaluate and mitigate risks associated with remote field connectivity, production systems, and ...

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All JobsLabeler JobsRemote Labeler JobsRemote Labeler Jobs in Oklahoma

Remote Labeler information

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many remote labelers work as independent contractors, which can affect pay rates and benefits.

How can I make 2000 a week working from home?

A remote labeler can potentially earn $2,000 per week by working full-time hours, often 40 hours or more, and gaining experience or specialized skills in data annotation or image labeling. Increasing income may involve taking on multiple projects, improving efficiency, or working for companies that pay higher rates for quality work. Consistent, high-volume work and reliable performance are key to reaching this income level.

How to make $1000 a week remote?

A remote labeler can potentially earn $1000 a week by working full-time hours, often 40 hours or more, and increasing productivity or taking on multiple projects. Building skills in image annotation tools and maintaining consistent quality can help secure higher-paying tasks or multiple clients, but earnings depend on workload, pay rates, and experience.

What is the difference between Remote Labeler vs Data Annotator?

AspectRemote LabelerData Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageCommon in AI training, machine learningUsed in AI, autonomous vehicle data, medical imaging

Both Remote Labelers and Data Annotators perform tasks involving data organization and labeling for AI systems. While their roles are similar, Remote Labelers often focus on image or video labeling for machine learning, whereas Data Annotators may handle a broader range of data types. Both roles typically require basic technical skills and are performed remotely, making them accessible for remote work opportunities in the AI industry.

Is data labeling work from home?

Data labeling jobs, including remote labeler positions, are often performed from home. These roles typically require a computer, internet connection, and attention to detail, and they can offer flexible schedules. However, specific requirements may vary by employer.
What are popular job titles related to Remote Labeler jobs in Oklahoma? For Remote Labeler jobs in Oklahoma, the most frequently searched job titles are:
Remote Labeler jobs near you
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Oklahoma City, OK • Remote

$13/hr

Part-time

Posted 17 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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