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Data Annotation Jobs in Pasadena, MD (NOW HIRING)

... NLP/NER annotation, model training/validation, and knowledge extraction from unstructured data - Familiarity with customer-specific tools, data flows (e.g., XKS/DX), and mission priorities ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

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 ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

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 ...

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Data Annotation information

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine 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 can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What job categories do people searching Data Annotation jobs in Pasadena, MD look for? The top searched job categories for Data Annotation jobs in Pasadena, MD are:
What cities near Pasadena, MD are hiring for Data Annotation jobs? Cities near Pasadena, MD with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Pasadena, MD as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Full Time, 25% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Data Scientist [$231k/yr+] TS/SCI-FS Poly with Security Clearance

Data Scientist [$231k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$231K/yr

Other

Posted 8 days ago


Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Contribute to Natural Language Processing (NLP) projects, leveraging expertise in Human Language Processing (HLP). • Execute advanced language data tokenization and develop automated annotation solutions. • Enhance and refine existing Machine Learning/Artificial Intelligence (ML/AI) models by rigorously evaluating performance against human-generated benchmarks. • Apply Data Science methodologies to drive continuous improvement in language processing capabilities. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 10+ years • Salary: $231k+ yearly compensation Job Description: • Lead the implementation and support of Natural Language Processing (NLP) initiatives. • Perform detailed language data tokenization and prepare data for model training. • Design, develop, and deploy automated solutions for efficient language data annotation, utilizing Machine Learning (ML) techniques. • Conduct rigorous performance evaluations of existing AI/ML models, comparing outputs against high-quality human annotations. • Utilize Data Science principles to analyze model performance metrics and identify areas for optimization. • Collaborate with cross-functional teams to integrate Human Language Processing (HLP) insights into broader projects. • Develop strategies for continuous model improvement and data quality enhancement. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency