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Data Annotation For Ai Jobs in Seattle, WA (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Seattle, WA · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Tacoma, WA · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Renton, WA · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Bellevue, WA · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Everett, WA · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Kent, WA · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Seattle, WA

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

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Cities near Seattle, WA with the most Data Annotation For Ai job openings:

Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Wellness & Nutrition Content Expert (Contract)

mpathic

Seattle, WA • On-site

$30 - $40/hr

Contractor

Re-posted 15 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

Apply