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Annotation Tech Jobs in Seattle, WA (NOW HIRING)

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

... technology. Within the Data Operations organization, the Capacity Planning & Analytics team ... We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ...

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

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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Showing results 21-40

All JobsAnnotation Tech JobsAnnotation Tech Jobs in Seattle, WA

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

Project Perseus | Speech & Voice AI Analyst - Croatian Speakers

Welocalize

Seattle, WA • On-site

Full-time

Re-posted 16 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

334th of 492 rated business services

Job description

Job Summary:
Welo Data is looking for detail-oriented and reliable individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. This role focuses on building datasets that power AI systems, ensuring models are trained on accurate and representative inputs.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Welocalize employees say

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