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Data Labeler Remote 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 Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Seattle, WA

Data Labeler Remote information

See Seattle, WA salary details

$16

$44

$64

How much do data labeler remote jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data labeler remote in Seattle, WA is $44.02, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $49.81 per hour, depending on experience, location, and employer.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Seattle, WA? The most popular types of Data Labeler jobs in Seattle, WA are:
What are popular job titles related to Data Labeler Remote jobs in Seattle, WA? For Data Labeler Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Seattle, WA look for? The top searched job categories for Data Labeler Remote jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Labeler Remote jobs? Cities near Seattle, WA with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,566 per year, or $44 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