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Data Labelling Jobs in Edmonds, WA (NOW HIRING)

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Data Labelling information

See Edmonds, WA salary details

$50.5K

$181.2K

$267.4K

How much do data labelling jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data labelling in Edmonds, WA is $181,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,600.00 and $186,700.00 per year, depending on experience, location, and employer.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What job categories do people searching Data Labelling jobs in Edmonds, WA look for? The top searched job categories for Data Labelling jobs in Edmonds, WA are:
What cities near Edmonds, WA are hiring for Data Labelling jobs? Cities near Edmonds, WA with the most Data Labelling job openings:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Edmonds, WA as of June 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $181,211 per year, or $87.1 per hour.
Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI)

Project Perseus | Data Quality Analyst - Spanish Speakers (Human-in-the-Loop AI)

Welo Data

Seattle, WA • On-site

Full-time

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

Job description

Job Summary:
Welo Data is looking for experienced, detail-oriented professionals to join their team as Data Quality Analysts. This role focuses on ensuring quality and execution within data labeling teams, auditing outputs, and providing guidance to improve accuracy and consistency.
Responsibilities:
• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands-on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency
• University degree (Bachelor’s or higher)
• B2 or superior level of English
• 2–4 years of experience in data annotation, content quality, QA, or related fields
• Strong ability to interpret and apply complex guidelines with consistency
• Excellent attention to detail with a high bar for quality
• Ability to stay consistent while working with evolving guidelines and priorities
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments
• Prior experience auditing or reviewing the work of others
• Familiarity with safety, compliance, or policy-driven content evaluation
• Must be authorized to work in the U.S. (no visa sponsorship)
• Must be located in or able to commute to one of the specified cities
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.

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