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

Scisco Genetics

Be Seen First

Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

... annotation, and downstream interpretation. * Investigate genetic contributors to human immune ... Proficiency in programming and data analysis using tools such as Python, R, Bash, Nextflow ...

Trunk Tools

MBA/BS Intern - Vision AI

Redmond, WA

$45/hr

Collaborate with engineers designing and implementing computer vision models and pipelines for ... Hands-on experience with large-scale data processing and annotation workflows for the construction ...

mpathic

Lead Solutions Architect

Seattle, WA · On-site

$200K - $250K/yr

... annotation systems. * Architect integrations across APIs, data pipelines, and customer ... Proven success working with ML/AI platform teams, data organizations, or developer-focused buyers.

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Seattle, WA

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 Jun 10, 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.

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:
Data Annotation Engineer jobs near you
Real Estate Agent (part-time AI consulting)

Real Estate Agent (part-time AI consulting)

Aquent

Seattle, WA • On-site, Remote

$36.22 - $40.24/hr

Temporary

Posted 12 days ago

Job description

Placement Type:
Temporary
Salary:
$36.22-40.24 Hourly
Start Date:
Jun 9, 2026
Our client, a tech real estate company, is looking for licensed real estate agents in Seattle, WA to provide part-time work as Agentic AI Judges
This is a fully remote role, but candidates must be located in the Seattle, WA area.
This is a part-time role with flexible hours. Work will be assigned on an as-needed basis and can be completed in the candidates' free time.
Must have an active Real Estate License, or previously been licensed with experience selling real estate in Seattle.
Our real estate tech client is looking for an Agentic Judge. The Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientists, Software Developers, and Natural Language experts.
  • Responsible for ensuring the quality of a number of possible elements related to our projects.
  • Projects such as reviewing the accuracy and humanlike traits of automated chatbot answers, classifying elements of a conversation annotated automatically, or reviewing search results based on an understanding of complex user queries.
  • Plays an essential role in defining clear guidelines which may be used by non-native English speakers.
  • Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.

Major responsibilities:
  • Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
  • Provide feedback and guidance to engineers to improve accuracy.
  • Collaborate with engineers and data scientists to optimize model performance based on annotated data.
  • Develop and maintain annotation guidelines and best practices.
  • Provide training data to engineers to establish Ground Truth data.
  • Provide input/examples on Training content.
  • Identify gaps in training content and suggest improvements.

MINIMUM QUALIFICATIONS
  • Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
  • Excellent attention to detail and analytical skills.
  • Ability to work effectively in a collaborative team environment.

PREFERRED QUALIFICATIONS
  • Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content,
  • Experience with copywriting, User Experience authoring, and content development around voice and brand guidelines.
  • Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
  • Experience following or managing complex processes, and working both independently and with a team to achieve a goal.
  • Experience with tools and software used for Natural Language Processing annotation is a plus.
  • Experience working on Natural Language Processing projects with a focus on transcriptions, localization, and translation.
  • Bachelor's degree in English, Linguistics or a related field.

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