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Annotation Tech Jobs in Seattle, WA (NOW HIRING)

mpathic

Red Teaming Expert

Seattle, WA · Remote

We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. About the Role mpathic is seeking part-time, ...

mpathic

Red Teaming Expert

Seattle, WA · On-site

$30 - $40/hr

We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. About the Role mpathic is seeking part-time, ...

mpathic

Red Teaming Expert

Seattle, WA

$30 - $40/hr

We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. About the Role mpathic is seeking part-time, ...

Apple

Senior Software Engineer, Backend

Seattle, WA

$142K - $263K/yr

... Annotation platform enables current and future Apple intelligence products by generating high quality critical data that facilitates Apple Intelligence and other cutting edge ML technologies. Imagine ...

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All JobsAnnotation Tech JobsAnnotation Tech Jobs in Seattle, WA

Annotation Tech information

What are Annotation Techs?

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.

How hard is it to get hired by data annotation?

Getting hired as an annotation technician typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

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 does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Annotation technicians use specialized tools to add accurate labels, which are essential for developing AI systems, and often require attention to detail and knowledge of data privacy. The work is typically performed in a digital environment with flexible schedules and may require basic technical skills.

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

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.

Is annotation tech legit?

Annotation tech refers to roles involving labeling and annotating data for machine learning and AI training. These jobs are generally legitimate and often involve tasks like image, text, or audio annotation using specialized tools, with some positions offering flexible schedules and remote work. However, job seekers should verify the employer's reputation and avoid scams by researching the company before applying.

What are some 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.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that range from minimum wage to around $15-$20 per hour, depending on experience, location, and the complexity of tasks. Some companies offer bonuses or pay increases for specialized skills or certifications, but overall, pay is generally modest compared to other tech roles.
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
Portuguese (Portugal) Data Labeling Analyst(Speech & Voice)

Portuguese (Portugal) Data Labeling Analyst(Speech & Voice)

Welocalize

Seattle, WA • On-site

Full-time

Posted 28 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

303rd of 454 rated business services

Job description

Job Summary:
Welocalize is looking for detail-oriented and reliable individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. The role focuses on building datasets that power AI systems, requiring strong judgment, attention to detail, and consistency.
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.

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