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Remote Data Annotation Ai Content Writer Jobs in Seattle, WA

Nintendo

Sr UX Writer

Redmond, WA · On-site +1

... through content, images, and multimedia assets, usingproduct knowledge,common sense,and data ... This position is not open to fully remote status at this time.

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ... Experience evaluating AI-generated content or training data. * Strong hands-on experience using ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ... Experience evaluating AI-generated content or training data. * Strong hands-on experience using ...

YO AI Labs

Korean Language Expert

Seattle, WA · Remote

$65 - $100/hr

Analyze Korean written and spoken content to assess natural usage, grammar, tone, and idiomatic ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

YO AI Labs

Korean Language Expert

Seattle, WA · Remote

$65 - $100/hr

Analyze Korean written and spoken content to assess natural usage, grammar, tone, and idiomatic ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

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All JobsData Annotation Ai Content Writer JobsRemote Data Annotation Ai Content Writer JobsRemote Data Annotation Ai Content Writer Jobs in Seattle, WA

Remote Data Annotation Ai Content Writer information

See Seattle, WA salary details

$15

$46

$113

How much do remote data annotation ai content writer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote data annotation ai content writer in Seattle, WA is $46.04, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $52.79 per hour, depending on experience, location, and employer.

What is a remote data annotation AI content writer?

A Remote Data Annotation AI Content Writer is a professional who works from a remote location to create, label, or annotate data that helps train artificial intelligence models, particularly those focused on language and content generation. Their tasks often involve reviewing and categorizing content, correcting grammar, tagging text, or generating sample texts that AI systems use to learn and improve. This role requires strong writing skills, attention to detail, and a good understanding of AI and data quality standards. By providing accurately labeled or generated content, these writers play a crucial part in advancing natural language processing and AI applications.

How does a remote data annotation AI content writer typically collaborate with machine learning teams?

As a Remote Data Annotation AI Content Writer, you’ll frequently work alongside machine learning engineers and data scientists to ensure that written content is accurately labeled and meets the requirements for AI training datasets. Communication is often conducted through project management tools, virtual meetings, and shared documentation. Close collaboration helps clarify annotation guidelines, resolve ambiguities, and maintain consistency across large volumes of data, which is crucial for building effective AI models. Being proactive in seeking feedback and asking questions is key to success in this remote, collaborative environment.

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

To thrive as a Remote Data Annotation AI Content Writer, you need strong written communication skills, attention to detail, and a solid understanding of AI concepts or data labeling practices, often supported by a relevant bachelor's degree or experience in content creation. Familiarity with data annotation tools, content management systems, and AI platforms such as Labelbox or Prodigy is typically required. Excellent time management, adaptability, and self-motivation are important soft skills for remote work and meeting project deadlines. These skills ensure high-quality, accurate data and content generation, which are critical for effective AI model training and project success.

What is the difference between Remote Data Annotation Ai Content Writer vs Remote Content Moderator?

AspectRemote Data Annotation Ai Content WriterRemote Content Moderator
CredentialsBasic writing, data annotation, AI understandingContent policies, communication skills
Work EnvironmentRemote, often flexible hoursRemote, shift-based or flexible hours
Industry UsageAI training, machine learning datasetsSocial media, online platforms
Job FocusCreating annotated data for AI modelsMonitoring and moderating online content

While both roles are remote and involve online work, the Remote Data Annotation Ai Content Writer focuses on creating annotated datasets to train AI systems, requiring writing and data labeling skills. In contrast, the Remote Content Moderator reviews and manages online content to ensure compliance with policies. Both roles support digital platforms but serve different purposes within the tech and social media industries.

What are the most commonly searched types of Data Annotation Ai Content Writer jobs in Seattle, WA?

The most popular types of Data Annotation Ai Content Writer jobs in Seattle, WA are:

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What cities near Seattle, WA are hiring for Remote Data Annotation Ai Content Writer jobs?

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Remote Data Annotation Ai Content Writer jobs near you
Infographic showing various Remote Data Annotation Ai Content Writer job openings in Seattle, WA as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,767 per year, or $46 per hour.

Child Development Psychologist (PhD) - Remote

YO AI Labs

Seattle, WA • Remote

$100 - $300/hr

Full-time

Posted 7 days ago

Job description

Child Development Psychologist (PhD)

Role Type: Contractor
Location: Remote

Job Overview

We are seeking Child Development Psychologists with advanced academic expertise in child development or developmental psychology to support an AI training project. You will evaluate and annotate data, analyze developmental scenarios, and provide expert guidance to improve the accuracy, cultural relevance, and psychological integrity of AI systems. No prior AI experience is required.

Key Responsibilities
  • Review and annotate datasets related to child development and developmental psychology.
  • Evaluate AI-generated content for developmental accuracy, cultural appropriateness, and psychological relevance.
  • Analyze scenarios and test cases involving children's learning, behavior, and development.
  • Collaborate with interdisciplinary teams to provide expert psychological insights.
  • Develop and refine guidelines addressing the cognitive, linguistic, and psychosocial aspects of child development.
  • Document findings, recommendations, and evaluations clearly and accurately.
  • Contribute to improving AI systems through high-quality expert feedback.
Required Skills
  • Child development expertise
  • Developmental psychology
  • Data annotation and AI data evaluation
  • Scenario analysis
  • Cross-cultural competence
  • Guideline creation
  • Strong written communication
  • Interdisciplinary collaboration
  • Ability to work effectively in a remote environment
Preferred Qualifications
  • PhD in Child Development, Developmental Psychology, or a closely related field.
  • Research or academic experience focused on child development or developmental psychology.
  • Experience with technology, digital platforms, or AI-related projects is highly desirable.
  • Ability to work independently while collaborating with distributed teams.
  • Experience evaluating psychological or behavioral data is a plus.
Preferred Languages

We are prioritizing applicants proficient in one or more of the following languages:

Japanese, French, Tagalog, Malay, Lithuanian, Russian, Georgian, Polish, Marathi, Bengali, Urdu, Vietnamese, Swahili, Mandarin, Cantonese, Indonesian, Turkish, Gujarati, or Bulgarian.