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Remote Data Labeling Jobs in Seattle, WA (NOW HIRING)

Dover Corporation

OEM Account Manager

Kirkland, WA · Remote

$110K - $150K/yr

... label systems. Markem-Imaje delivers fully integrated solutions that enable product quality and ... Ability to identify problems, collect data, establish facts, and draw valid conclusions. * Must be ...

Dover Corporation

OEM Account Manager

Kirkland, WA · Remote

$110K - $150K/yr

... label systems. Markem-Imaje delivers fully integrated solutions that enable product quality and ... Ability to identify problems, collect data, establish facts, and draw valid conclusions. * Must be ...

Dover Corporation

OEM Account Manager

Seattle, WA · Remote

$110K - $150K/yr

... label systems. Markem-Imaje delivers fully integrated solutions that enable product quality and ... Ability to identify problems, collect data, establish facts, and draw valid conclusions. * Must be ...

Aprio

Lead Engineer (Azure)

Bellevue, WA · On-site +1

$98K - $132K/yr

Data Protection : Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

All JobsData Labeling JobsRemote Data Labeling JobsRemote Data Labeling Jobs in Seattle, WA

Remote Data Labeling information

See Seattle, WA salary details

$11

$37

$82

How much do remote data labeling jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote data labeling in Seattle, WA is $37.17, according to ZipRecruiter salary data. Most workers in this role earn between $18.47 and $50.21 per hour, depending on experience, location, and employer.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Seattle, WA? The most popular types of Data Labeling jobs in Seattle, WA are:
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What cities near Seattle, WA are hiring for Remote Data Labeling jobs? Cities near Seattle, WA with the most Remote Data Labeling job openings:
Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Seattle, WA as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,321 per year, or $37.2 per hour.

Deep Learning Quality Specialist

Carbon Robotics

Seattle, WA • On-site, Remote

Other

Re-posted 17 days ago

Job description

As a Deep Learning Quality Specialist at Carbon Robotics you'll be responsible for maintaining our expanding dataset of high resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products.

Our office is based in Seattle, WA, but this role can be fully remote. 

What you'll do:

  • Audit data to ensure clean and appropriate datasets
  • Look through imagery and correct labels and classifications then give feedback to labelers
  • Work closely with support to help investigate issues and determine what is needed to insure data integrity
  • Review data irregularities detected by automated tooling
  • Validate solutions, document results and record customer feedback
  • Translates field tests, model issues and analyze customer feedback
  • Prepare cases for field personnel to review labels/predictions
  • Help the Deep Learning team prioritize tasks based on impact to customer satisfaction

Knowledge, Skills, and Abilities for Success:

  • Education or professional experience in agronomy & farming or data annotation
  • Highly motivated, independent thinker with great problem solving skills
  • Highly organized with excellent time management to juggle multiple priorities at the same time
  • Collaboration skills to work with customers and internal teams simultaneously
  • High level of attention to detail & the ability to think strategically
  • Detail-oriented, with proven ability to deliver accurate reporting
  • Intermediate to advanced Google Suite and Confluence skills desired
  • Ability to assess high risk situations & make safe independent decisions on a risk based process
  • Traveling required 10-15%

Apply