... engineers, and is a key member in developing new conventions for relevant annotation workflows. The Language Data Scientist will be own unique data analysis and research requests that support the ...
... engineers, and is a key member in developing new conventions for relevant annotation workflows. The Language Data Scientist will be own unique data analysis and research requests that support the ...
Wellness & Nutrition Content Expert, AI Review, Part-Time
Seattle, WA · On-site +1
$30 - $40/hr
... data annotation for LLM builders. Our reviewers have specialization in behavioral analysis ... Providing structured written feedback to researchers and engineers * Collaborating with ...
Wellness & Nutrition Content Expert, AI Review, Part-Time
Seattle, WA · On-site +1
$30 - $40/hr
... data annotation for LLM builders. Our reviewers have specialization in behavioral analysis ... Providing structured written feedback to researchers and engineers * Collaborating with ...
... data annotation for LLM builders. Our reviewers have specialization in behavioral analysis ... Providing structured written feedback to researchers and engineers * Collaborating with ...
Quick apply
... data annotation for LLM builders. Our reviewers have specialization in behavioral analysis ... Providing structured written feedback to researchers and engineers * Collaborating with ...
AIML - Data Scientist, Evaluation
$142K - $263K/yr
You will partner with various engineering teams to improve search quality and guide feature ... Worked with methods that address accuracy and variability in human annotation data. Ability to ...
AIML - Data Scientist, Evaluation
$142K - $263K/yr
You will partner with various engineering teams to improve search quality and guide feature ... Worked with methods that address accuracy and variability in human annotation data. Ability to ...
Wellness & Nutrition Content Expert, AI Review, Part-Time
Seattle, WA · On-site
$30 - $40/hr
... data annotation for LLM builders. Our reviewers have specialization in behavioral analysis ... Providing structured written feedback to researchers and engineers * Collaborating with ...
Wellness & Nutrition Content Expert, AI Review, Part-Time
Seattle, WA · On-site
$30 - $40/hr
... data annotation for LLM builders. Our reviewers have specialization in behavioral analysis ... Providing structured written feedback to researchers and engineers * Collaborating with ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Science meets engineering - You work alongside ML scientists and translate their research into ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Science meets engineering - You work alongside ML scientists and translate their research into ...
... engineers, and is a key member in developing new conventions for relevant annotation workflows. The Language Data Scientist will be own unique data analysis and research requests that support the ...
... engineers, and is a key member in developing new conventions for relevant annotation workflows. The Language Data Scientist will be own unique data analysis and research requests that support the ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Science meets engineering - You work alongside ML scientists and translate their research into ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Science meets engineering - You work alongside ML scientists and translate their research into ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Science meets engineering - You work alongside ML scientists and translate their research into ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Science meets engineering - You work alongside ML scientists and translate their research into ...
AIML - Sr Data Scientist, Evaluation
$142K - $263K/yr
You will partner with various engineering teams to improve search quality and guide feature ... Worked with methods that address accuracy and variability in human annotation data. Ability to ...
AIML - Sr Data Scientist, Evaluation
$142K - $263K/yr
You will partner with various engineering teams to improve search quality and guide feature ... Worked with methods that address accuracy and variability in human annotation data. Ability to ...
Sr. Software Development Engineer, Amazon Robotics Manipulation
Seattle, WA · On-site
$139K - $183K/yr
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Improvements compound across the fleet. - Science meets engineering - You work alongside ML ...
Sr. Software Development Engineer, Amazon Robotics Manipulation
Seattle, WA · On-site
$139K - $183K/yr
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Improvements compound across the fleet. - Science meets engineering - You work alongside ML ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Improvements compound across the fleet. - Science meets engineering - You work alongside ML ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Improvements compound across the fleet. - Science meets engineering - You work alongside ML ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Improvements compound across the fleet. - Science meets engineering - You work alongside ML ...
... annotation orchestration systems that onboard new ML data pipelines without code changes ... Improvements compound across the fleet. - Science meets engineering - You work alongside ML ...
Senior Manager, Machine Learning Engineering
Seattle, WA · On-site
$200K - $250K/yr
Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration * Own the MLOps lifecycle ...
Senior Manager, Machine Learning Engineering
Seattle, WA · On-site
$200K - $250K/yr
Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration * Own the MLOps lifecycle ...
Senior Manager, Machine Learning Engineering
$200K - $250K/yr
You will oversee 4 critical pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions. You are a hands-on, senior ...
Senior Manager, Machine Learning Engineering
$200K - $250K/yr
You will oversee 4 critical pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions. You are a hands-on, senior ...
Senior Manager, Machine Learning Engineering
$200K - $250K/yr
Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration * Own the MLOps lifecycle ...
Quick apply
Senior Manager, Machine Learning Engineering
$200K - $250K/yr
Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration * Own the MLOps lifecycle ...
AI Red Teamer, LLM Generalist
Seattle, WA · On-site
$32 - $95/hr
Collaborate with engineers, data scientists, and researchers to share findings and strengthen ... Comfort with structured data annotation and rubric-based scoring * Prior work in trust and safety ...
Quick apply
AI Red Teamer, LLM Generalist
Seattle, WA · On-site
$32 - $95/hr
Collaborate with engineers, data scientists, and researchers to share findings and strengthen ... Comfort with structured data annotation and rubric-based scoring * Prior work in trust and safety ...
Program Manager, Human Data Operations (Seattle)
Seattle, WA · On-site
$120K - $150K/yr
You will act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data ... Build a deep understanding of mpathic's human data, AI safety, red teaming, evaluation, annotation ...
Program Manager, Human Data Operations (Seattle)
Seattle, WA · On-site
$120K - $150K/yr
You will act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data ... Build a deep understanding of mpathic's human data, AI safety, red teaming, evaluation, annotation ...
You will act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data ... Build a deep understanding of mpathic's human data, AI safety, red teaming, evaluation, annotation ...
You will act as the connective tissue between Data Services, QA, Engineering, AI/ML, Product, Data ... Build a deep understanding of mpathic's human data, AI safety, red teaming, evaluation, annotation ...
Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of ... Description The Human-centered AI, Data Quality Operations team is looking for a Senior Applied ...
Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of ... Description The Human-centered AI, Data Quality Operations team is looking for a Senior Applied ...
Data Annotation Engineer information
See Seattle, WA salary details
$58.6K - $73.7K
2% of jobs
$73.7K - $88.8K
9% of jobs
$99.3K is the 25th percentile. Wages below this are outliers.
$88.8K - $103.8K
20% of jobs
$103.8K - $118.9K
4% of jobs
$118.9K - $133.9K
4% of jobs
$133.9K - $149K
1% of jobs
$149K - $164.1K
0% of jobs
$164.1K - $179.1K
0% of jobs
The median wage is $186.7K / yr.
$179.1K - $194.2K
18% of jobs
$194.2K - $209.3K
0% of jobs
$215.1K is the 75th percentile. Wages above this are outliers.
$209.3K - $224.3K
41% of jobs
$58.6K
$167.9K
$224.3K
How much do data annotation engineer jobs pay per year?
As of Jul 24, 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 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 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.
Does data annotation really pay?
Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.
What is the highest salary for data annotator?
The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.
What is a data annotation engineer?
A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.
How hard is it to get hired by data annotation?
Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.
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 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:
Amazon rating
7.4
Based on 7,008 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Amazon is seeking a Language Data Scientist to join the Alexa International science team as domain expert. This role focuses on expanding analysis and evaluation of conversational interaction data deliverables. The Language Data Scientist is an expert in conversation assessment processes, working closely with a team of skilled machine learning scientists and engineers, and is a key member in developing new conventions for relevant annotation workflows.
The Language Data Scientist will be own unique data analysis and research requests that support the training and evaluation of LLMs and machine learning models, and the overall processing of a data collection.
Key job responsibilities
To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will:
- Own data analyses for customer-facing features, including launch go/no-go metrics for new features and accuracy metrics for existing features
- Handle unique data analysis requests from a range of stakeholders, including quantitative and qualitative analyses to elevate customer experience with speech interfaces
- Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas
- Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable
- Provide expert support for a large and growing team of data analysts
- Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data
- Conduct research studies to understand speech and customer-Alexa interactions
- Collaborate with scientists and product managers, and other stakeholders in defining and validating customer experience metrics .
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 and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US