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

Turing

AI Quality Analyst - English

Seattle, WA · Remote

$25 - $30/hr

Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on ... Experience in data annotation, AI quality evaluation, content moderation, or a related role is ...

New

Amazon

Customer Resolution Specialist

Seattle, WA · On-site

$21.58 - $25.96/hr

... engineers, scientists, product managers, program owners and Customer Service leaders, helping test ... Experience with data annotation and taking detailed notes * Computer usage proficiency * Friendly ...

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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 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:

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 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.

Wellness & Nutrition Content Expert (Contract)

mpathic

Seattle, WA • On-site

$30 - $40/hr

Other

Re-posted 9 days ago

Job description

About mpathic
Keeping the human in AI. mpathic is a trusted leader in advancing clinical accuracy and quality through developing AI-enhanced solutions. mpathic offers human services in red teaming, trust & safety, central rating and monitoring for clinical trials and expert data annotation for LLM builders. Our reviewers have specialization in behavioral analysis, conversational design, mental health, psychiatry, social services and clinical trial settings.
About the Role
mpathic is seeking contract wellness, nutrition, and lifestyle experts-including writers, educators, coaches, influencers, or subject-matter experts-who are skilled communicators and thoughtful analysts of human behavior and language.
You will collaborate on confidential AI safety and quality initiatives focused on wellness, nutrition, diet culture, healthy behavior change, and non-clinical wellbeing content generated by large language models. This role is non-clinical and does not involve diagnosis, treatment, or crisis intervention.
What You'll Be Working On
You'll help ensure AI systems provide responsible, accurate, and non-harmful guidance related to wellness, nutrition, food, body image, and lifestyle topics.
Responsibilities may include:

  • Reviewing and stress-testing AI-generated wellness, nutrition, and lifestyle content
  • Roleplaying realistic user conversations related to diet, health goals, habits, and wellbeing
  • Identifying misleading, unsafe, biased, or low-quality wellness advice
  • Evaluating tone, clarity, inclusivity, and cultural sensitivity in AI responses
  • Developing personas, scenarios, and evaluation rubrics for wellness-related use cases
  • Documenting edge cases, failures, and improvement opportunities
  • Providing structured written feedback to researchers and engineers
  • Collaborating with interdisciplinary teams on AI safety, trust, and content quality
  • Maintaining strict confidentiality and quality standards
This role is writing- and judgment-intensive, and well-suited for people who regularly analyze, create, or critique wellness-related content.
What We're Looking For
Successful candidates are clear communicators, thoughtful reviewers, and comfortable working independently while contributing to a collaborative team.
Basic Qualifications
  • Demonstrated expertise in wellness, nutrition, diet, or lifestyle education, such as:
    • Nutrition or diet education (formal or informal)
    • Wellness coaching or health education
    • Food, fitness, or wellness content creation
    • Body image, intuitive eating, or behavior change frameworks
  • Strong writing and editing skills, with the ability to clearly explain reasoning and feedback
  • Experience evaluating or creating digital content (articles, social posts, scripts, newsletters, guides, etc.)
  • Comfort working with AI tools and conversational systems
  • Strong ethical judgment and attention to safety, accuracy, and harm prevention
  • Ability to work remotely using Slack, LLM tools, and standard productivity software
  • Comfort with ambiguity, iteration, and feedback-driven work
  • Willingness to sign NDAs and work with confidential materials
  • Availability of 10-40 hours/week when actively assigned to a project.
Above and Beyond
  • Background in nutrition science, public health, health communication, or behavior change
  • Experience as a wellness or nutrition influencer, blogger, or educator
  • Familiarity with diet culture harms, eating disorder-adjacent risks, or wellness misinformation
  • Experience with content moderation, trust & safety, or quality assurance
  • Background in conversational design, UX writing, or scenario design
  • Interest in AI, language models, or responsible technology
  • Participation in online communities (e.g., Instagram, TikTok, Substack, Discord, Reddit)

Compensation
$30-40/hour depending on experience

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