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Data Annotation Engineer Jobs in Washington, DC (NOW HIRING)

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... annotation of language data with parts of speech information, and improve existing models by ... Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate ...

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Strong programming skills in Python required. Experience in java and html a plus. * Experience ...

State Affairs

Software Engineer

Washington, DC · On-site

They are seeking a Software Engineer to own user-facing features, design data workflows, and ... data workflow such as instant search, real‑time diffing, collaborative annotation, and hiding ...

State Affairs

Software Engineer

Washington, DC · On-site

$120K - $180K/yr

Software Engineers own userfacing features endtoend: slick React/NextJS interfaces, performant Node ... Design delightful data workflow such as instant search, realtime diffing, collaborative annotation ...

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Strong programming skills in Python required. Experience in java and html a plus. * Experience ...

Covar

Senior Machine Learning Engineer

Mclean, VA · On-site

$107K - $147K/yr

Experience with data curation/annotation workflows and dataset quality control. * Software engineering: Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines ...

CoVar

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Experience with data curation/annotation workflows and dataset quality control. * Software engineering: Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines ...

State Affairs

Software Engineer

Washington, DC · On-site

$120K - $180K/yr

Software Engineer Washington, DC State Affairs is the nation's leading news and policy intelligence ... Design delightful data workflow such as instant search, real-time diffing, collaborative annotation ...

State Affairs

Software Engineer

Washington, DC · On-site

$120K - $180K/yr

Software Engineers own user-facing features end-to-end: slick React/Next JS interfaces, performant ... Design delightful data workflow such as instant search, real-time diffing, collaborative annotation ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Staff AI Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the ... Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ...

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Showing results 1-20

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Washington, DC

Data Annotation Engineer information

See Washington, DC salary details

$58.3K

$167K

$223.1K

How much do data annotation engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data annotation engineer in Washington, DC is $167,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $222,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Washington, DC? For Data Annotation Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Washington, DC look for? The top searched job categories for Data Annotation Engineer jobs in Washington, DC are:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Washington, DC as of June 2026, with employment types broken down into 71% Full Time, 6% Part Time, and 23% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $167,014 per year, or $80.3 per hour.

Data Scientist III with Security Clearance

Black Eagle Defense

Fort George G Meade, MD

$128K - $185K/yr

Other

Posted 4 days ago

Job description

Job Description SALARY RANGE $128,000 - $185,000/year DUTIES As a successful candidate for the Data Scientist III role, you will devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through 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 features and limitations inherent in NSA/CSS data holdings.

Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Required Skills SKILLS Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) II. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) III.

Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) QUALIFICATIONS A Bachelor's Degree with 10 years of relevant experience or an 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 requirements, or upper-level math courses designated as elementary or basic do not count.

A 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 one 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. Experience in more than three areas is strongly preferred.

Additional Requirements: • 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 • Demonstrated NLP experience

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