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

... Data Annotation Network. In this role, you are the strategic financial business partner to our AI Data Operations and Engineering leaders working to deliver a comprehensive portfolio of high-value ...

... Data Annotation Network. In this role, you are the strategic financial business partner to our AI Data Operations and Engineering leaders working to deliver a comprehensive portfolio of high-value ...

New

Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and ... engineering, research, and procurement teams. * Drive account growth by identifying new use cases ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation * Fact Checking

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

Qualifications: * 3+ years in a data quality, ML data engineering or applied ML role. * Experience ... Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or ...

Qualifications: * 3+ years in a data quality, ML data engineering or applied ML role. * Experience ... Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or ...

Showing results 21-40

Data Annotation Engineer information

See Seattle, WA salary details

$58.6K

$167.9K

$224.3K

How much do data annotation engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data annotation engineer in Seattle, WA is $167,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $223,200.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

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 as a data annotation engineer?

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.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Seattle, WA?

For Data Annotation Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Annotation Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Annotation Engineer jobs?

Cities near Seattle, WA with the most Data Annotation Engineer job openings:

Infographic showing various Data Annotation Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $167,909 per year, or $80.7 per hour.

Finance Manager, Frontier AI Assets

Amazon

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Amazon is hiring a highly effective Finance Manager to partner with the Frontier AI Assets (FAI) team in leading our Human-in-the-Loop (HITL) Data Annotation Network. In this role, you are the strategic financial business partner to our AI Data Operations and Engineering leaders working to deliver a comprehensive portfolio of high-value, trusted AI assets, enabling frontier model capabilities for Amazon businesses and external customers. These assets are developed in-house (1P) and sourced from a curated network of third-party (3P) partners for certification of downstream model impact as part of the collection process.
In this high-impact role, you will establish financial frameworks, own full P&L oversight and financial modeling for complex unit economics across our global operations network of specialized domain experts (coding, STEM, legal, reasoning), and drive capital allocation efficiency across our data annotation supply chain. If you are looking for a role to apply your financial acumen to deliver insights and drive high-velocity decision making to help shape how AI models perform real-world actions, learn from human feedback, and drive results with key performance indicators that balance quality, speed, cost and impact then this role is for you!
A successful candidate will love to learn and be curious and dive deep to understand and identify business trends, analyze quantitatively, problem-solve and prioritize. Strong oral and written communication skills are crucial, as well as the ability to work autonomously with a proven work ethic and track record of delivering results.
Key job responsibilities
• Financial Ownership & Strategic FP&A: Drive end-to-end financial forecasting, annual planning, and monthly variance analysis for our global HITL operations network.
• Unit Economics & Cost Modeling: Develop dynamic cost models analyzing cost-per-unit and cost-per-hour across varied worker tiers, skill complexities, and technical domains.
• Cross-Functional Business Partnership: Partner directly with AI Operations and Engineering teams to align data procurement budgets with model training schedules and capacity planning.
• Vendor & Network Optimization: Evaluate and identify spend optimization opportunities across the global network to optimize cost, throughput, and output quality.
• Governance & Controls: Implement scalable operational tracking and cost controls to ensure budget accuracy as operations scale.
BASIC QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field experience
- 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
- 5+ years of dissecting financial data and identifying patterns that support business strategy experience
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
PREFERRED QUALIFICATIONS
- MBA, or CPA
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 95,400.00 - 163,200.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US