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Text Annotation Jobs in Washington (NOW HIRING)

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 ...

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 ...

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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.

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.

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 are the most commonly searched types of Text Annotation jobs in Washington? The most popular types of Text Annotation jobs in Washington are:
What are popular job titles related to Text Annotation jobs in Washington? For Text Annotation jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Text Annotation jobs? Cities in Washington with the most Text Annotation job openings:
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Fuse Engineering LLC

Fort George G Meade, MD

Other

Posted yesterday


Job description

Description Support for 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.  Requirements Clearance Required Top Secret SCI w/ Full Polygraph 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.  Must have some combination (2 or more) of the following skill areas:   Foundations: Mathematical, Computational, Statistical 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.