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Remote Entry Level Data Annotation Jobs in Everett, WA

YO AI Labs

Medical Coder - Remote

Seattle, WA · Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

micro1 AI

AI Trainer - Microbiology Expert

Everett, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

micro1 AI

AI Trainer - Microbiology Expert

Seattle, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

YO AI Labs

Korean Language Expert

Seattle, WA · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

YO AI Labs

Korean Language Expert

Seattle, WA · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

TEKsystems

Mechanical BIM Designer I

Seattle, WA · Remote

$30 - $35/hr

Remote-eligible (may require occasional collaboration during Pacific time hours) Tools & Systems ... data to site go-live in PathFinder Experience Level Entry Level Job Type & Location This is a ...

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Remote Entry Level Data Annotation information

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How much do remote entry level data annotation jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote entry level data annotation in Everett, WA is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $24.18 per hour, depending on experience, location, and employer.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

What are the key skills and qualifications needed to thrive as a remote entry level data annotation?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What job categories do people searching Remote Entry Level Data Annotation jobs in Everett, WA look for?

The top searched job categories for Remote Entry Level Data Annotation jobs in Everett, WA are:

What cities near Everett, WA are hiring for Remote Entry Level Data Annotation jobs?

Cities near Everett, WA with the most Remote Entry Level Data Annotation job openings:

Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Everett, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $46,505 per year, or $22.4 per hour.

Medical Coder - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $80/hr

Full-time

Re-posted 4 days ago

Job description

Job Title: Medical Coder

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Medical Coders to contribute their healthcare coding expertise to an innovative project focused on improving next-generation AI systems. In this role, you will review and annotate medical records, evaluate coding accuracy, and provide expert feedback to support the development of high-quality medical datasets. No prior AI experience is required—your coding expertise and attention to detail are what matter most.

Key Responsibilities

  • Review and annotate medical records to accurately assign ICD-10 and CPT codes based on clinical documentation.

  • Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare datasets.

  • Ensure compliance with current medical coding standards and guidelines.

  • Analyze clinical documentation and identify coding-related ambiguities or inconsistencies.

  • Provide expert feedback on coding guidelines, edge cases, and documentation scenarios.

  • Collaborate with project teams through written and verbal communication to improve AI training data quality.

Required Skills

  • Medical Coding

  • ICD-10

  • CPT

  • CPC Certification

  • Evaluation & Management (E&M)

  • Clinical Documentation Review

  • Coding Accuracy & Compliance

  • Attention to Detail

  • Written & Verbal Communication

Preferred Qualifications

  • Active AAPC Certified Professional Coder (CPC) certification required.

  • Strong knowledge of ICD-10, CPT coding systems, and E&M leveling guidelines.

  • Experience working with diverse clinical documentation types.

  • Ability to interpret complex medical records and apply appropriate coding standards.

  • Strong written and verbal communication skills.

  • Familiarity with digital annotation tools or healthcare data projects is a plus.

  • Commitment to accuracy, quality, and continuous learning in healthcare coding and technology