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Annotation Jobs in Seattle, WA (NOW HIRING)

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products. The focus of ground truth data ...

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

... annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

... annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

... annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

... annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

... annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

... annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

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Annotation information

See Seattle, WA salary details

$51.2K

$66.5K

$111K

How much do annotation jobs pay per year?

As of Jun 17, 2026, the average yearly pay for annotation in Seattle, WA is $66,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $66,000.00 per year, depending on experience, location, and employer.

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

Is it hard to get a job with data annotation?

Data annotation jobs typically require attention to detail and basic computer skills, and many positions are entry-level with flexible schedules. While some roles may require familiarity with specific tools or platforms, overall, they are accessible to those willing to learn and follow guidelines.

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. Annotators use specialized tools to add accurate labels, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning models, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality control specialists, and domain-specific annotators will continue to be essential, especially in complex or nuanced tasks that AI cannot fully automate. Skills in critical thinking and familiarity with annotation tools will remain valuable in this field.

What are the key skills and qualifications needed to thrive in the Annotation position, and why are they important?

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in Seattle, WA? The most popular types of Annotation jobs in Seattle, WA are:
What are popular job titles related to Annotation jobs in Seattle, WA? For Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Annotation jobs? Cities near Seattle, WA with the most Annotation job openings:
Infographic showing various Annotation job openings in Seattle, WA as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% In-person job distribution, with an average salary of $66,478 per year, or $32 per hour.
Data Annotation Technician

Data Annotation Technician

Q ANALYSTS LLC

Kirkland, WA • On-site, Remote

Full-time

Posted 6 days ago


Job description

Company Description
Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of the world's best companies to deliver services that exceed expectations. Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML).
Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized repeatedly for its industry-leading growth rate and service quality. At Q Analysts, we listen to your needs and help you select what's right for you - this includes the right career opportunities, a choice of comprehensive benefits packages as well as technical training. When you become a Q Analysts employee, you'll see the difference in the superior levels of support and service we deliver to you, our partners, through our Consultant Experience Program. Learn about us here and come join us.
Job Description
Q Analysts is a high growth technology consulting company with a focus on providing Quality Assurance & Testing and Ground Truth Data Services to top technology corporations in the US. We deliver value added services to our clients that include managed services and managed projects.
Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products. The focus of ground truth data collection is to capture various types of data relating to humans, speech and environments to enable quality Artificial Intelligence and Machine Learning algorithms. The Data Annotation Technician will be responsible for analyzing and summarizing data while utilizing specialized tooling for processing. The ideal candidate will have an appreciation for technology, be able to work autonomously and efficiently and have strong attention to detail. This is a short term project with potential for long term.
Responsibilities:
  • Generate answer summaries to a given question from pre-determined content
  • Analyze content and use best judgement for proper answers
  • Meet daily, weekly and monthly velocity expectations
  • Generate daily reports on completed tasks
  • Assist with peer to peer training

Qualifications
Skills and Requirements:
  • Ability to work on repetitive tasks effectively
  • Strong written grammar skills
  • Professional verbal and written communication
  • Able to make judgement calls based on a set of criteria
  • Able to manage time effectively with minimum oversight
  • Organized and detail oriented
  • Adaptable, reliable and ethical
  • Technology skills including tooling and PC
  • Transcription or tagging skills a major plus

Experience:
  • Experience in a related role
  • Experience in a role requiring usage of a variety of technology tools
  • Experience with Microsoft Office 365 and all its components (SharePoint, Forms, Power Automate, Outlook, Word, Excel)

Verification of COVID 19 vaccination, background check, and ability to work in the United States without requiring sponsorship required for all new hires.
Additional Information
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability Q Analysts is an EOE. All your information will be kept confidential according to EEO guidelines.