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Data Annotation Engineer Jobs in Everett, WA (NOW HIRING)

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively • Support data ...

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130.30K - $156.50K/yr

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Apple

Senior Software Engineer, Backend

Seattle, WA · On-site

$139.50K - $258.10K/yr

... AIML Annotation Platform team provides frameworks and services for enabling effective data ... Engage in code review, pair programming and architecture discussions with other members of the team.

Lancesoft - Viren

Be Seen First

Annotation Lead

Seattle, WA · Remote

$45 - $50/hr

The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that ... Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software ...

New

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

... engineers. This is a startup culture: We move fast, have ambitious goals, adapt quickly, and learn along the way. BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation ...

Overland AI

3D Data Annotator

Seattle, WA · On-site

$90K - $130K/yr

Maintain strict adherence to annotation guidelines to ensure high standards of data quality and consistency. * Collaborate with the engineering team to refine labeling guidelines and provide feedback ...

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA

$130.30K - $156.50K/yr

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and ...

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA

$130.30K - $156.50K/yr

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and ...

Handshake

AI Red Teamer (LLM Generalist)

Seattle, WA · On-site

... Collaborate with engineers, data scientists, and researchers to share findings and strengthen ... with structured data annotation and rubric-based scoring • Prior work in trust and safety ...

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Data Annotation Engineer information

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$56.9K

$162.9K

$217.6K

How much do data annotation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data annotation engineer in Everett, WA is $162,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $216,500.00 per year, depending on experience, location, and employer.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
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Data Annotation Engineer jobs near you
Human Factors Research Engineer, AIML Data Operations

Human Factors Research Engineer, AIML Data Operations

Apple

Seattle, WA

$171.60K - $258.10K/yr

Full-time

Medical, Dental, Retirement

Posted 12 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you'll do more than join something - you'll add something.
Imagine what human factors research can do at Apple. At Apple, great ideas quickly become extraordinary user experiences. Are you excited to take on big challenges that create a positive impact for billions of people? Are you passionate about engaging directly with people to research and design elegant Apple experiences?
We are looking for a talented, creative and technical user experience researcher to optimize the design of annotation workflows and analyst tools that contribute to Apple's most strategic AI initiatives.
Description
Our organization is responsible for delivering high-quality, human-annotated, machine learning data at scale for product teams across Apple. We are both an operations team and a trusted partner in the development of Apple’s consumer software and hardware experiences. This global data annotation and collection initiative enables Apple to create amazing new experiences and advance flagship experiences like Apple Intelligence and Vision Pro.","responsibilities":"As a human factors researcher, you will focus on optimizing software products and annotation workflows for our global operations. You will work directly with data analysts and annotation specialists to research human performance and design solutions for diverse languages, cultures, and abilities.
Preferred Qualifications
Proactive, curious, data-driven, and collaborative
Proficient in data exploration and data analysis languages or tools such as SQL, Python, or R Studio
Industry experience working with UX designers and software engineers to develop highly-usable and performant interfaces
Published research in human-in-the-loop evaluation or data annotation workflows
Minimum Qualifications
MS or PhD in Computer Science, Human-Computer Interaction or equivalent degree
3+ years of experience in mixed-methods human factors research, especially in evaluating user interface designs
Expert in qualitative and quantitative experimental design, statistical data analysis, and reporting
Excellent listening, communication and interview skills in both individual and focus group settings
Experience with human-in-the-loop evaluation, data annotation workflows, or AI/LLM model development
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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