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Annotation Engineer Jobs in Washington (NOW HIRING)

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

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

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

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

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 ...

Comcast

Agentic AI Evaluation Engineer

Washington, DC

$142K - $213K/yr

Manage and curate evaluation datasets, test sets, and annotation workflows * Enable continuous ... Partner with engineering, and product teams to deliver high-quality AI solutions * Create technical ...

Comcast

Agentic AI Evaluation Engineer

Washington, DC

$142K - $213K/yr

Manage and curate evaluation datasets, test sets, and annotation workflows * Enable continuous ... Partner with engineering, and product teams to deliver high-quality AI solutions * Create technical ...

Axle

Data Scientist II

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

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Infographic showing various Annotation Engineer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 39% Full Time, 28% Part Time, 25% Contract, and 7% Nights. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution.

Data Scientist 3

Gormat

Annapolis Junction, MD • On-site

$132K - $147K/yr

Full-time

Re-posted 2 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.

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