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Remote Data Annotation Analyst Jobs in Seattle, WA

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

Q Analysts has a sixteen-years track record of providing managed services and we've partnered with ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

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Remote Data Annotation Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do remote data annotation analyst jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote data annotation analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Seattle, WA? The most popular types of Data Annotation Analyst jobs in Seattle, WA are:
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What job categories do people searching Remote Data Annotation Analyst jobs in Seattle, WA look for? The top searched job categories for Remote Data Annotation Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Data Annotation Analyst jobs? Cities near Seattle, WA with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Data Annotation Technician

Data Annotation Technician

Q ANALYSTS LLC

Kirkland, WA • On-site, Remote

Full-time

Posted 17 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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