497 Geospatial Ai Data Annotator jobs in Washington,DC

Senior Geospatial Data Engineer

Vantor

Mc Lean, VA 22101

$182,000-$200,200/yr

~ 19 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Active TS/SCI security clearance with polygraph.
To be eligible for this position, you mustbe a U.S. Citizen.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
12+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
Strong Python experience for geospatial data processing, automation, transformation, analysis, and workflow improvement.
Demonstrated experience working with large geospatial datasets, including cleaning, formatting, joining, enriching, validating, and preparing data for analysis or publication.
Hands-on experience with ArcGIS Enterprise, ArcGIS Portal, or ArcGIS Online, including publishing and maintaining hosted feature layers, web maps, dashboards, and geospatial content.
Experience curating geospatial data holdings, including organizing datasets, maintaining metadata, improving discoverability, and ensuring data quality.
Experience developing dashboards, reports, or analytic visualizations in Tableau or a comparable business intelligence platform.
Understanding of geospatial data formats, projections, coordinate systems, spatial joins, geoprocessing workflows, cartographic principles, and spatial data management.
Experience with relational databases, preferably PostgreSQL/PostGIS, for storing, querying, and managing spatial or tabular data.
Strong analytical, problem-solving, communication, and customer engagement skills.
Proven ability to work independently with minimal guidance while coordinating effectively across teams, offices, and mission stakeholders.

SmartExplore AI is experimental.

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Senior Data Scientist (Machine Learning&Geospatial Analytics)– TS/SCI Required

Leidos

Arlington, VA 22204

~ 12 min OnsitePaid Time OffRetirement Benefit

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

SmartExplore AI is experimental.

New, Posted 12 hours ago

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Senior Geospatial Data Engineer (TS/SCI with FS Poly)

Vantor

Mc Lean, VA 22101

$182,000-$200,200/yr

~ 19 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

To be eligible for this position, you mustbe a U.S. Citizen.
_Export Control/ITAR:_ Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
This position requires an active U.S. Government Security Clearance at the TS/SCI level with required Polygraph.
Active TS/SCI security clearance with polygraph.
Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
12+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
Strong Python experience for geospatial data processing, automation, transformation, analysis, and workflow improvement.
Demonstrated experience working with large geospatial datasets, including cleaning, formatting, joining, enriching, validating, and preparing data for analysis or publication.
Hands-on experience with ArcGIS Enterprise, ArcGIS Portal, or ArcGIS Online, including publishing and maintaining hosted feature layers, web maps, dashboards, and geospatial content.
Experience curating geospatial data holdings, including organizing datasets, maintaining metadata, improving discoverability, and ensuring data quality.
Experience developing dashboards, reports, or analytic visualizations in Tableau or a comparable business intelligence platform.
Understanding of geospatial data formats, projections, coordinate systems, spatial joins, geoprocessing workflows, cartographic principles, and spatial data management.
Experience with relational databases, preferably PostgreSQL/PostGIS, for storing, querying, and managing spatial or tabular data.
Strong analytical, problem-solving, communication, and customer engagement skills.
Proven ability to work independently with minimal guidance while coordinating effectively across teams, offices, and mission stakeholders.

SmartExplore AI is experimental.

Recommended

Senior GEOINT Analyst

ManTech

Springfield, VA 22150

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Senior Data Scientist (Machine Learning&Geospatial Analytics)– TS/SCI Required

Leidos

Annandale, VA 22003

~ 22 min OnsitePaid Time OffRetirement Benefit

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

SmartExplore AI is experimental.

Recommended

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GEOINT Analyst

ManTech

Springfield, VA 22150

New, Posted 7 hours ago

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Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One

Mc Lean, VA 22101

New, Posted 12 hours ago

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AI & Data Cloud Architect

Guidehouse Careers

McLean, VA 22101

Manager, AI Engineer

KPMG

Washington, DC 20002

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Master's degree from an accredited college or university preferred
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

SmartExplore AI is experimental.

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