ZipRecruiter

Log In

1

Data Annotation Manager Jobs in Seattle, WA (NOW HIRING)

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site

Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... data, and software engineering teams, who together manage the lifecycle of returned and damaged ... Perform data annotation required to train and evaluate ML models effectively • Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... data, and software engineering teams, who together manage the lifecycle of returned and damaged ... Perform data annotation required to train and evaluate ML models effectively • Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... data, and software engineering teams, who together manage the lifecycle of returned and damaged ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

... data, and software engineering teams, who together manage the lifecycle of returned and damaged ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... data, and software engineering teams, who together manage the lifecycle of returned and damaged ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... data, and software engineering teams, who together manage the lifecycle of returned and damaged ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ... managing workload even during times of stress, or escalated activity - Experience working with ...

next page

Showing results 1-20

All JobsData Annotation Manager JobsData Annotation Manager Jobs in Seattle, WA

Data Annotation Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do data annotation manager jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data annotation manager in Seattle, WA is $110,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Seattle, WA? The most popular types of Data Annotation jobs in Seattle, WA are:
What are popular job titles related to Data Annotation Manager jobs in Seattle, WA? For Data Annotation Manager jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Seattle, WA look for? The top searched job categories for Data Annotation Manager jobs in Seattle, WA are:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Seattle, WA as of June 2026, with employment types broken down into 10% As Needed, and 90% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,552 per year, or $53.1 per hour.
Data Annotation Technician

Data Annotation Technician

Q Analysts

Kirkland, WA • On-site

Other

Posted 20 days ago

Job description

Data Annotation Technician

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.

Apply