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Data Annotation Project Manager Jobs in Redmond, WA

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

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 ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

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 ...

H5 Data Centers

Data Center Project Manager

Seattle, WA · On-site

$125K - $130K/yr

Provide Management status of all active Data Center projects and Key Performance indicators. * Lead internal resources and vendors in the execution of Data Center deployments and builds.

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Redmond, WA

Data Annotation Project Manager information

See Redmond, WA salary details

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$64

$89

How much do data annotation project manager jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for data annotation project manager in Redmond, WA is $64.41, according to ZipRecruiter salary data. Most workers in this role earn between $55.72 and $75.38 per hour, depending on experience, location, and employer.

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 using tools like labeling platforms and project management software.

Does data annotation actually pay?

Data annotation project managers oversee tasks where annotators are paid for labeling data used in machine learning. The pay for annotators varies depending on the platform, project complexity, and experience, with many earning hourly wages or per-task rates. The role of a project manager involves coordinating these efforts and ensuring quality, often with a salary or contract-based compensation.

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

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

How hard is it to get hired by data annotation?

Getting hired as a data annotation project manager typically requires relevant experience in project management, familiarity with annotation tools, and strong organizational skills. The role often involves coordinating teams and ensuring quality standards, with some positions requiring certifications or prior experience in data labeling environments. Competition varies depending on the company and location, but demonstrating technical knowledge and management ability can improve chances of hiring.

What is the salary of data annotation manager?

The salary of a Data Annotation Project Manager typically ranges from $60,000 to $100,000 annually, depending on experience, location, and company size. They often oversee teams using annotation tools and ensure quality standards are met in data labeling projects.

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

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

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

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What is a Data Annotation Project Manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.
What are popular job titles related to Data Annotation Project Manager jobs in Redmond, WA? For Data Annotation Project Manager jobs in Redmond, WA, the most frequently searched job titles are:
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What cities near Redmond, WA are hiring for Data Annotation Project Manager jobs? Cities near Redmond, WA with the most Data Annotation Project Manager job openings:
Data Annotation Project Manager jobs near you
Infographic showing various Data Annotation Project Manager job openings in Redmond, WA as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Full Time, 25% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $133,965 per year, or $64.4 per hour.
Data Annotation Technician

Data Annotation Technician

Q Analysts

Kirkland, WA • On-site

Other

Posted 12 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.

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