1

Remote Video Labelling Jobs Near Me

... labels without lies. Founded on one simple belief -- that the ingredients in your food and ... Take ad concepts from idea to execution -- writing the copy, briefing designers and video editors ...

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

Remote Video Labelling information

See salary details

$38K

$75.5K

$129K

How much do remote video labelling jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote video labelling in the United States is $75,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $87,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Remote Video Labelling jobs? Cities with the most Remote Video Labelling job openings:
What states have the most Remote Video Labelling jobs? States with the most job openings for Remote Video Labelling jobs include:
What are the most commonly searched types of Video Labelling jobs? The most popular types of Video Labelling jobs are:
A map of the United States highlighting the number of Remote Video Labelling job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Video Labelling job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Smartphone Video Data Specialist - Remote

micro1 AI

Columbus, OH • Remote

$13 - $15/hr

Part-time

Posted 8 days ago


Job description

Role Title: At-Home Video Recorder


Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Vermont, Virginia, West Virginia, Wisconsin, and Wyoming.


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.


Engagement Structure

This position is project-based contract work. Engagement length and available hours fluctuate based on client needs, and there is no guaranteed minimum duration or set minimum weekly hours. When projects scale down, our team provides early and transparent communication and actively works to transition high-performing experts to new incoming projects whenever possible.


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.