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Remote Video Labelling Jobs in Seattle, WA (NOW HIRING)

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Remote Video Labelling information

See Seattle, WA salary details

$43.2K

$85.9K

$146.8K

How much do remote video labelling jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote video labelling in Seattle, WA is $85,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $99,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Video Labelling Specialist, and why are they important?

To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.

What are some common challenges faced by remote video labelling professionals, and how can they be managed?

Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.

What is remote video labelling?

Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.

What is the difference between Remote Video Labelling vs Remote Image Annotation?

AspectRemote Video LabellingRemote Image Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAutonomous vehicles, surveillance, AI trainingObject detection, medical imaging, retail
Search & Comparison IntentUnderstanding differences in data labeling rolesUnderstanding differences in annotation tasks

Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.

What are popular job titles related to Remote Video Labelling jobs in Seattle, WA? For Remote Video Labelling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Video Labelling jobs in Seattle, WA look for? The top searched job categories for Remote Video Labelling jobs in Seattle, WA are:
Remote Video Labelling jobs near you
Data-Video Generalist (Household Task Video Contributor) - Key Center

Data-Video Generalist (Household Task Video Contributor) - Key Center

Micro1

Gig Harbor, WA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data-Video Generalist (Remote Household Task Video Contributor)

Job Type: Contractor

Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin.

Timeline: Applications close on May 8th at 5 pm PST.

Job Summary:

Join our customers' team as a Data Video Generalist for performing Household Tasks and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you.

Compensation is output-based; experts are paid $0.21 per minute of submitted video that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week.

Key Responsibilities:

  • Capture precise motion data using your smartphone's sensor suite (IMU) during specified physical tasks.
  • Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  • Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  • Participate in required device compatibility checks and a custom AI-enabled interview process.

Required Skills and Qualifications:

  • Demonstrated adherence to standardized protocols and rigorous technical instructions.
  • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  • Strong written and verbal communication skills; ability to document work and collaborate remotely.
  • Experience with mobile devices and a high level of digital literacy.
  • Physical capability to perform repetitive movement tasks safely and accurately.
  • Access to a compatible smartphone for high-fidelity sensor and video data collection.
  • Eligibility to work in designated U.S. states.

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. Minimum submission requirements apply: videos must be at a specific length defined by the project, and experts must submit a minimum of 10 to 15 hours of video per week.

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.

Tasks for this project must be performed from a mobile device (smartphone or tablet). 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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