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Remote Data Labelling Jobs in Everett, WA (NOW HIRING)

Theodora

Founding Marketing Lead

Seattle, WA · On-site +1

... with labels that don't say much. Our founder felt like there were only two options: become a ... Analytical and data-driven, confident driving metrics and iterating quickly ( the founder comes ...

Theodora

Founding Marketing Lead

Seattle, WA · Remote

... with labels that don't say much. Our founder felt like there were only two options: become a ... Analytical and data-driven, confident driving metrics and iterating quickly ( the founder comes ...

AfterShip

Agency Partner Manager

Seattle, WA · On-site +1

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management ... This role reports to the Head of Partnerships and is remote, with a preference for candidates based ...

All JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Everett, WA

Remote Data Labelling information

See Everett, WA salary details

$50.8K

$182.3K

$269K

How much do remote data labelling jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote data labelling in Everett, WA is $182,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,500.00 and $187,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Labelling position, and why are they important?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a Remote Data Labelling job?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are popular job titles related to Remote Data Labelling jobs in Everett, WA? For Remote Data Labelling jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Labelling jobs in Everett, WA look for? The top searched job categories for Remote Data Labelling jobs in Everett, WA are:
What cities near Everett, WA are hiring for Remote Data Labelling jobs? Cities near Everett, WA with the most Remote Data Labelling job openings:
Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Everett, WA as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $182,291 per year, or $87.6 per hour.
Deep Learning Quality Specialist

Deep Learning Quality Specialist

Carbon Robotics

Seattle, WA • On-site, Remote

Other

Posted 8 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%

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