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Full Time Data Annotation Tech Jobs in Seattle, WA

Amazon

PM, Science Annotation

Bellevue, WA

... technology and science teams to support new Machine Learning (ML) models and data science ... annotation tasks align with project objectives and timelines Maintain high-quality standards for ...

Amazon

PM, Science Annotation

Bellevue, WA

... technology and science teams to support new Machine Learning (ML) models and data science ... annotation tasks align with project objectives and timelines Maintain high-quality standards for ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

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 ...

Amazon

PM, Science Annotation

Bellevue, WA · On-site

... technology and science teams to support new Machine Learning (ML) models and data science ... data annotation tasks align with project objectives and timelines • Maintain high-quality ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

... technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of ...

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

We are looking for candidates who are passionate about the intersection of language and technology ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

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All JobsFull Time Data Annotation Tech JobsFull Time Data Annotation Tech Jobs in Seattle, WA

Full Time Data Annotation Tech information

See Seattle, WA salary details

$13

$25

$39

How much do full time data annotation tech jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for full time data annotation tech in Seattle, WA is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $30.91 per hour, depending on experience, location, and employer.

How does a Full Time Data Annotation Tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

What are Full Time Data Annotation Techs?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

What are the key skills and qualifications needed to thrive as a Full Time Data Annotation Tech, and why are they important?

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

What is the difference between Full Time Data Annotation Tech vs Data Labeling Specialist?

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

What are the most commonly searched types of Data Annotation Tech jobs in Seattle, WA? The most popular types of Data Annotation Tech jobs in Seattle, WA are:
What are popular job titles related to Full Time Data Annotation Tech jobs in Seattle, WA? For Full Time Data Annotation Tech jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Full Time Data Annotation Tech jobs in Seattle, WA look for? The top searched job categories for Full Time Data Annotation Tech jobs in Seattle, WA are:
Full Time Data Annotation Tech jobs near you
Data Annotation Technician

Data Annotation Technician

Q ANALYSTS LLC

Kirkland, WA • On-site, Remote

Full-time

Posted 28 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.

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