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

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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

New

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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

New

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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

New

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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

New

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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

New

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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

New

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ... Set the data-engineering standards for the flywheel schema conventions, dataset contracts, quality ...

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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

$167.8K

$224.2K

How much do data annotation engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data annotation engineer in Seattle, WA is $167,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $223,100.00 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 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 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 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
Infographic showing various Data Annotation Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $167,814 per year, or $80.7 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Seattle, WA • Remote

$100 - $200/hr

Part-time

Posted yesterday

New

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.