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Annotation Tech 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 is a high growth technology consulting company with a focus on providing Quality ...

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Technical Skills Proficiency with annotation tools and platforms. Ability to review multimedia ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

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 · 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 · 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 · 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 ...

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

LVT

Staff Data Engineer

Seattle, WA

$130K - $156K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

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All JobsAnnotation Tech JobsAnnotation Tech Jobs in Seattle, WA

Annotation Tech information

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

How hard is it to get hired by data annotation?

Getting hired as an annotation technician typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

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. Annotation technicians use specialized tools to add accurate labels, which are essential for developing AI systems, and often require attention to detail and knowledge of data privacy. The work is typically performed in a digital environment with flexible schedules and may require basic technical skills.

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

Is annotation tech legit?

Annotation tech refers to roles involving labeling and annotating data for machine learning and AI training. These jobs are generally legitimate and often involve tasks like image, text, or audio annotation using specialized tools, with some positions offering flexible schedules and remote work. However, job seekers should verify the employer's reputation and avoid scams by researching the company before applying.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that range from minimum wage to around $15-$20 per hour, depending on experience, location, and the complexity of tasks. Some companies offer bonuses or pay increases for specialized skills or certifications, but overall, pay is generally modest compared to other tech roles.
What are popular job titles related to Annotation Tech jobs in Seattle, WA? For Annotation Tech jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Annotation Tech jobs in Seattle, WA look for? The top searched job categories for Annotation Tech jobs in Seattle, WA are:
Annotation Tech jobs near you
Data Annotation Technician

Data Annotation Technician

Q Analysts

Kirkland, WA • On-site

Other

Posted 11 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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