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Text Annotator Jobs (NOW HIRING)

MethodHub

Healthcare Data Annotator

Tampa, FL · On-site

Healthcare Data Labeler / Data Annotator Location: Tampa, FL (5 days onsite) Duration: Long-term ... Experience with text, image, video, audio, and document annotation. * Experience working with data ...

MethodHub

Data Labeler / Data Annotator

Tampa, FL · On-site

Data Labeler / Data Annotator Location: Tampa, FL (5 days Onsite) Duration: Long-term Contract ... Experience with text, image, video, audio, and document annotation. * Experience working with data ...

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Text Annotator information

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How much do text annotator jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for text annotator in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

What is a text annotator?

Text Annotators are professionals who label and categorize text data to help train artificial intelligence (AI) and machine learning models. Their work involves reading documents, identifying specific elements such as entities, sentiments, or key phrases, and tagging these according to predefined guidelines. This process ensures that AI systems can accurately interpret and process human language by learning from well-labeled examples. Text annotators often work with a variety of texts, including emails, social media posts, and articles, to create high-quality datasets for natural language processing (NLP) applications.

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

To thrive as a Text Annotator, you need strong language proficiency, attention to detail, and familiarity with linguistic concepts, often supported by a degree in linguistics, language studies, or a related field. Experience with annotation tools, text labeling platforms, and sometimes basic scripting or data management systems is typical. Excellent focus, time management, and clear communication are important soft skills in this role. These capabilities ensure the accurate and efficient preparation of high-quality annotated datasets essential for machine learning and natural language processing projects.

What are some common challenges faced by text annotators, and how can they be addressed?

Text annotators often encounter challenges such as maintaining consistency in labeling, understanding ambiguous language, and managing large volumes of data. To address these, teams typically provide detailed annotation guidelines, conduct regular training sessions, and use collaborative review processes to ensure accuracy. Utilizing annotation tools with built-in quality checks and establishing open communication with project managers can also help annotators overcome these hurdles and deliver high-quality results.

What is the difference between Text Annotator vs Data Labeler?

AspectText AnnotatorData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, NLP projectsAI, machine learning, data preparation
Search IntentCompare roles in data annotationCompare roles in data labeling

Text Annotators and Data Labelers often perform similar tasks in AI and machine learning projects, focusing on preparing data for model training. While the terms are sometimes used interchangeably, Text Annotators typically specialize in labeling text data specifically, such as identifying entities or sentiment, whereas Data Labelers may work with various data types, including images and audio. Both roles require attention to detail and familiarity with annotation tools, making them closely related but distinct in scope.

What are popular job titles related to Text Annotator jobs?

For Text Annotator jobs, the most frequently searched job titles are:

Infographic showing various Text Annotator job openings in the United States as of September 2026, with employment types broken down into 40% Full Time, 40% Part Time, and 20% Contract. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Healthcare Data Annotator

Tampa, FL • On-site

MethodHub
IT Services • 51 - 200 employees
Learn more about MethodHubexternal

Other

Posted 4 days ago

Job description

Healthcare Data Labeler / Data Annotator


Location: Tampa, FL (5 days onsite)

Duration: Long-term Contract


Description and Skills:

  • 4-6 years of experience in data labeling/annotation.
  • Perform detailed data annotation and classification activities based on project-specific labeling guidelines and business rules.
  • Experience in preparing, labeling, reviewing, and validating large datasets used for machine learning and artificial intelligence applications.
  • Experience with text, image, video, audio, and document annotation.
  • Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth
  • Basic understanding of AI/ML data preparation
  • Health Insurance/Healthcare/payment domain knowledge is an advantage

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