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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 ...

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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 May 31, 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 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 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.
More about Remote Data Labelling jobs
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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

German Data Annotator & Translator - Part-Time Remote

Cohere

Seattle, WA • Remote

$50.10K - $65.50K/yr

Part-time

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

Job description

A dynamic AI research firm is hiring a part-time Data Annotation Specialist to improve the performance of its Large Language Models. The ideal candidate should possess native proficiency in German, excellent English skills, and a strong attention to detail. Responsibilities include labeling data, auditing language data for accuracy, and providing feedback on tasks.

This remote role within Canada requires a commitment of 16 hours per week at a contract rate of 30 CAD/hour, with performance incentives included. #J-18808-Ljbffr

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