ZipRecruiter

Log In

2

Full Time Machine Learning Data Annotation Jobs in Seattle, WA

Amazon

Machine Learning Engineer

Seattle, WA · On-site

Key job responsibilities As a Software Development Engineer in Machine Learning, you will: - Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and ...

Amazon

Machine Learning Engineer

Seattle, WA · On-site

Key job responsibilities As a Software Development Engineer in Machine Learning, you will: - Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and ...

Oracle

Principal Machine Learning Engineer

Seattle, WA · On-site

Evaluates potential data quality, security, and/or privacy issues and their impacts on modeling. Provides troubleshooting and debugging support. Addresses issues in machine learning infrastructure ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... EEO Know Your Rights poster Employment Type: FULL_TIME

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CG's investment ...

next page

Showing results 1-20

All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Seattle, WA

Full Time Machine Learning Data Annotation information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 23, 2026, the average yearly pay for full time machine learning data annotation in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Seattle, WA? The most popular types of Machine Learning Data Annotation jobs in Seattle, WA are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Seattle, WA? For Full Time Machine Learning Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Seattle, WA look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Seattle, WA are:
Full Time Machine Learning Data Annotation jobs near you
Language Data Scientist, Alexa International

Language Data Scientist, Alexa International

Amazon

Bellevue, WA

Full-time

Posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,002 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 .

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

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

View All Amazon Jobs

Apply