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Text Annotation Jobs (NOW HIRING)

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and ...

Recruitment Room

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Familiarity with multiple data types (text, image, audio, video)

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Experience in content development and/or text annotation (e.g., annotation of certain types of biomedical entities including personally identifiable information; development of biomedical lexicons ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD

Experience in content development and/or text annotation (e.g., annotation of certain types of biomedical entities including personally identifiable information; development of biomedical lexicons ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

Annotate and label large datasets for AI/ML training and evaluation tasks across text, tabular, and ... Follow detailed annotation specifications and operational procedures; document decisions, edge ...

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Text Annotation information

What are typical day-to-day responsibilities for someone working in text annotation?

Text Annotation professionals spend much of their day reading and labeling text data according to specific guidelines, ensuring that information is correctly categorized and flagged. This can involve highlighting entities, identifying sentiments, tagging parts of speech, or annotating complex relationships within text documents. They frequently collaborate with project managers, data scientists, and quality assurance teams to clarify instructions and maintain data consistency. The role often involves independent work, but regular check-ins and feedback sessions help maintain accuracy and enhance understanding of evolving annotation requirements. This combination of independent and collaborative tasks makes the position dynamic and integral to successful AI or NLP project outcomes.

Are data annotations still hiring?

Data annotation roles, including those for text annotation, are still in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they can be available as remote or part-time positions. Hiring trends depend on industry needs and project pipelines, but opportunities remain consistent in this field.

What is a text annotation job?

A text annotation job involves labeling or tagging parts of text data to help train machine learning models, especially in natural language processing tasks. Workers typically review text and add labels such as entities, sentiments, or categories using specialized tools, often working remotely with flexible schedules.

What are the key skills and qualifications needed to thrive in the Text Annotation position, and why are they important?

Strong language proficiency, attention to detail, and critical thinking are essential skills for succeeding as a Text Annotation specialist, often supported by a bachelor's degree in linguistics, computer science, or a related field. Familiarity with annotation tools like Labelbox, Prodigy, or the Amazon Mechanical Turk platform, as well as knowledge of data privacy and handling protocols, is typically required. Excellent communication, self-motivation, and the ability to focus on repetitive tasks help individuals excel in this position. These capabilities ensure high-quality, consistent data labeling for machine learning models, supporting the development of cutting-edge AI solutions.

Is data annotation a legit job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and it can be performed remotely or in-office. Many companies hire data annotators as part of their AI development teams.

What is a Text Annotation job?

A Text Annotation job involves labeling and categorizing text data to help train machine learning models. Annotators add tags, metadata, or classifications to text, enabling AI systems to understand language patterns. This work is essential for applications like chatbots, search engines, and sentiment analysis. Strong attention to detail and language proficiency are key skills for this role.

What qualifications do you need to be a data annotator?

To be a data annotator, basic qualifications typically include a high school diploma or equivalent, strong attention to detail, and good reading and comprehension skills. Familiarity with annotation tools and the ability to follow specific guidelines are also important, while prior experience or knowledge in the relevant domain can be beneficial but is not always required.
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Text Annotation jobs near you
Infographic showing various Text Annotation job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 55% In-person, and 45% Remote job distribution.
Machine Learning Data Linguist, Alexa AI

Machine Learning Data Linguist, Alexa AI

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 28 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,962 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers' requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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