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Annotation Tech Jobs in Seattle, WA (NOW HIRING)

YO AI Labs

Medical Coder - Remote

Seattle, WA · Remote

$50 - $80/hr

Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

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Annotation Tech information

What is an annotation tech?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

What skills and qualifications are needed to thrive as an annotation tech?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

What are common challenges faced by annotation techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.
What are popular job titles related to Annotation Tech jobs in Seattle, WA? For Annotation Tech jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Annotation Tech jobs in Seattle, WA look for? The top searched job categories for Annotation Tech jobs in Seattle, WA are:
Annotation Tech jobs near you

Medical Coder - Remote

YO AI Labs

Seattle, WA • Remote

$50 - $80/hr

Full-time

Posted yesterday

New

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