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Remote Labeler Jobs in Seattle, WA (NOW HIRING)

Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

Retail Sales Consultant

Seattle, WA ยท Remote

$75K - $85K/yr

This is not a remote position . The Daily Impact You will manage a dedicated geographic territory ... Coordinate promotional events, educate store staff on products, and manage on-site shelf labels and ...

... our white-label approach.Our network of 450 venues worldwide, hosting 20,000 events and ... WORKING CONDITIONS Location:Remote in CA, WA, NM, AZ. (This is a remote position; however ...

Manager, Customer Business

Home, WA ยท Remote

$101K - $152K/yr

TreeHouse Foods is a leading manufacturer of private label packaged foods and beverages, operating ... We are seeking a Manager, Customer Business to join our sales organization in a remote role. This ...

Sr. AI Security Engineer

Seattle, WA ยท On-site +1

$85 - $95/hr

Potential opening for remote candidates in PST. This position will support AI workloads across our ... sensitivity label enforcement - Familiarity with AI red team tooling such as PyRIT or Garak ...

ARC Specialist

Seattle, WA ยท On-site +1

$55K - $65K/yr

This position is remote if located in a state with a Ballard presence . Hours for this shift are 7 ... Prepare merged documents, including letters and labels. * Works collaboratively with ARC ...

Remote Labeler information

See Seattle, WA salary details

$11

$15

$19

How much do remote labeler jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote labeler in Seattle, WA is $15.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $17.50 per hour, depending on experience, location, and employer.

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.

What cities near Seattle, WA are hiring for Remote Labeler jobs?

Cities near Seattle, WA with the most Remote Labeler job openings:

Video Annotation Expert - Remote

Seattle, WA โ€ข Remote

$50 - $90/hr

Full-time

Posted 3 days ago

New


Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.