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Text Annotation Jobs in Washington, DC (NOW HIRING)

Data Scientist 3

Annapolis Junction, MD ยท On-site

$132K - $147K/yr

... the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text. The Level 3 Data ...

Data Scientist 3

Annapolis Junction, MD ยท On-site

$132K - $147K/yr

... the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text. The Level 3 Data ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Middle School Reading Tutor

Fairfax, VA ยท Remote

$18 - $40/hr

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Middle School Reading Tutor

Laurel, MD ยท Remote

$18 - $40/hr

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Middle School Reading Tutor

Leesburg, VA ยท Remote

$18 - $40/hr

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

Middle School Reading Tutor

Bowie, MD ยท Remote

$18 - $40/hr

Adapts instruction using diverse text selections, annotation strategies, and graphic organizers to support middle school readers from struggling to advanced levels building comprehension and ...

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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.
What are the most commonly searched types of Text Annotation jobs in Washington, DC? The most popular types of Text Annotation jobs in Washington, DC are:
What job categories do people searching Text Annotation jobs in Washington, DC look for? The top searched job categories for Text Annotation jobs in Washington, DC are:
Infographic showing various Text Annotation job openings in Washington, DC as of July 2026, with employment types broken down into 70% Full Time, 22% Part Time, and 8% Contract. Highlights an 64% In-person, and 36% Remote job distribution.

Data Scientist 3

Gormat

Annapolis Junction, MD โ€ข On-site

$132K - $147K/yr

Full-time

Posted 8 days ago


Job description

We are seeking a Data Scientist proficient in Python and Jupyter Notebook to support a Natural Language Processing (NLP) project. You will help to accurately and automatically tokenize language data with spoken or written origins, develop automated solutions for the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text.
The Level 3 Data Scientist shall possess the following capabilities:
  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text.

Qualifications:
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

TS/SCI with polygraph is required.