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Data Annotator Jobs in Seattle, WA (NOW HIRING)

Centific

Malay Data Annotator

Redmond, WA · On-site

Title: Malay Data Annotator Location: Redmond, WA Type: Full‑time * Native speaker of the target language with English proficiency * Must be authorized to work in the US without sponsorship

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

As a Data Annotator, you will play a crucial role in improving the performance and accuracy of our AI models by providing high-quality annotated data. Psychology Degree is a huge plus! What You Will ...

All JobsData Annotator JobsData Annotator Jobs in Seattle, WA

Data Annotator information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do data annotator jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data annotator in Seattle, WA is $187,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is a data annotator?

Data Annotators are professionals who label or tag data such as images, text, audio, or video to prepare it for use in machine learning and artificial intelligence (AI) models. Their work is crucial because accurately labeled data helps algorithms learn to recognize patterns and make decisions. Data annotators may use specialized software tools to highlight objects, transcribe speech, or classify documents according to specific guidelines. The quality and accuracy of their annotations directly affect the performance of AI systems.

What are the key skills and qualifications needed to thrive as a data annotator, and why are they important?

To thrive as a Data Annotator, you need attention to detail, accuracy, and a basic understanding of data structures, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Supervisely, and sometimes basic coding skills are typically required. Strong organizational skills, patience, and the ability to follow precise guidelines make someone stand out in this position. These skills and qualities are crucial for producing high-quality datasets that drive effective machine learning and AI model development.

What are the typical challenges data annotators face when working with large datasets, and how can they overcome them?

Data Annotators often encounter challenges such as repetitive tasks, maintaining high accuracy, and dealing with ambiguous data points when working with large datasets. To overcome these, it's important to follow clear annotation guidelines, regularly communicate with team leads or project managers about uncertainties, and leverage quality control tools provided by the organization. Collaborating with peers and participating in review sessions can also help ensure consistency and improve the overall quality of the annotations.

What is the difference between Data Annotator vs Data Labeler?

AspectData AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsSimilar; often requires only basic education and attention to detail
Work EnvironmentRemote or office-based; working with datasets and annotation toolsPrimarily remote; focused on labeling data for machine learning
Industry UsageUsed across AI, machine learning, and data science industriesCommonly used in AI and machine learning sectors for training data
Search & Comparison IntentOften compared due to similar tasks and roles in data preparation

Both Data Annotators and Data Labelers perform data preparation tasks for AI models, often with overlapping skills and work environments. The main difference lies in terminology used by employers or platforms, but their roles are largely similar, focusing on labeling data to improve machine learning algorithms.

How much does a data annotator make?

Data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer freelance or part-time work with variable pay rates, and proficiency with annotation tools can influence earning potential.

What exactly does a data annotator do?

A data annotator labels and tags data such as images, text, or audio to help machine learning models understand and learn from the data. This role involves using specialized tools and requires attention to detail to ensure accuracy, often working with large datasets on flexible schedules.

What are the most commonly searched types of Data Annotator jobs in Seattle, WA?

The most popular types of Data Annotator jobs in Seattle, WA are:

What are popular job titles related to Data Annotator jobs in Seattle, WA?

For Data Annotator jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Annotator jobs in Seattle, WA look for?

The top searched job categories for Data Annotator jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Annotator jobs?

Cities near Seattle, WA with the most Data Annotator job openings:

Data Annotator jobs near you
Infographic showing various Data Annotator job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $187,792 per year, or $90.3 per hour.

Malay Data Annotator

Centific

Redmond, WA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Title: Malay Data Annotator

Location: Redmond, WA

Type: Full‑time


Job Description:

  • Native speaker of the target language with English proficiency
  • Must be authorized to work in the US without sponsorship
  • Bachelor's degree or above. Prior translation experience in the target language is preferred but not required.
  • Scope: review and clean translation data, identifying and correcting errors in AI-translated content, ensuring translations are culturally appropriate and read naturally to local audiences.


Benefits:

  • Comprehensive healthcare, dental, and vision coverage
  • 401k plan
  • Paid time off (PTO)
  • And more!


Company Overview:

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.


Learn more about us at centific.com.

Centific is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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