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Map Annotation Jobs in Washington (NOW HIRING)

B&A

Geospatial Data Analyst

Mclean, VA

$75K - $82K/yr

Create, edit, and position geographic names, labels, annotation, symbols, and other map elements using established placement techniques to minimize conflicts and ensure legibility. Develop and ...

Bart & Associates

Geospatial Data Analyst

Mclean, VA · On-site

... annotation, symbols, and other map elements using established placement techniques to minimize conflicts and ensure legibility. · Develop and maintain map layouts and required product elements ...

New

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Provide guidance on mapping and alignment goals (e.g., ATCPROD, SNOMED), use cases, priorities, and ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD

Provide guidance on mapping and alignment goals (e.g., ATCPROD, SNOMED), use cases, priorities, and ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

Axle

Data Scientist II

Rockville, MD

... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ... Support ingestion, curation, metadata capture, source-to-target mapping, schema management ...

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Mapping (ORM), persistence, caching, searching), iText (PDF generation). POI (MS Excel generation ...

Beyond SOF

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Open Source APls -Struts (MVC framework), Hibernate (Object Relational Mapping (ORM), persistence ...

CoVar

Machine Learning Engineer

Mclean, VA

$83K - $111K/yr

... mAP). * Computer vision experience with modern architectures (e.g., YOLO family, CenterNet ... Experience with data curation/annotation workflows and dataset quality control. * Software ...

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Map Annotation information

What is a map annotation?

A Map Annotation job involves labeling, tagging, or annotating geographic data to improve the accuracy of digital maps. This can include identifying roads, landmarks, businesses, addresses, and other points of interest. Annotators help train AI and mapping systems by reviewing and verifying location-based information. The role requires attention to detail, spatial awareness, and sometimes familiarity with local geography. These jobs are often remote and may be project-based.

What does a map annotation do?

In a Map Annotation role, your day often involves reviewing and labeling satellite imagery or digital maps using specialized software to identify features like roads, buildings, or natural landmarks. You may work independently or as part of a team, following detailed guidelines to ensure consistency and high accuracy across the dataset. Collaboration with supervisors or quality assurance teams is common to resolve ambiguities and uphold annotation standards. The work is usually computer-based, and you might attend regular meetings to discuss updates to project requirements or annotation protocols. Over time, you can expand your responsibilities by training new teammates or moving into lead annotator or project coordinator roles.

What skills and qualifications are needed for map annotation?

To thrive as a Map Annotation specialist, you should have excellent attention to detail, spatial reasoning abilities, and familiarity with geographic information systems (GIS) or digital mapping platforms. Proficiency with annotation tools like ArcGIS, QGIS, or proprietary annotation software is often required, and some roles may prefer prior experience or training in cartography or remote sensing. Strong communication, problem-solving skills, and the ability to follow complex guidelines are valuable soft skills in this position. These skills and qualities are vital because accuracy and consistency in annotating map data directly influence the quality of geographic datasets used in applications like navigation, autonomous vehicles, and urban planning.

What are the most commonly searched types of Map Annotation jobs in Washington?

The most popular types of Map Annotation jobs in Washington are:

What are popular job titles related to Map Annotation jobs in Washington?

For Map Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Map Annotation jobs in Washington look for?

The top searched job categories for Map Annotation jobs in Washington are:

What cities in Washington are hiring for Map Annotation jobs?

Cities in Washington with the most Map Annotation job openings:

Map Annotation jobs near you
Infographic showing various Map Annotation job openings in Washington as of August 2026, with employment types broken down into 62% Full Time, 17% Part Time, and 21% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Data & Annotation Engineer

Washington, DC

Innodata Inc.
IT Services • 501 - 1,000 employees

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

166th of 247 rated software companies

Good employer

Respectful managers

Good training

Learn more about Innodata Inc.external

$55 - $60/hr

Full-time

Re-posted 22 days ago

Job description

About the Program: 

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the Role: 

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.

Key Responsibilities:

  • Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
  • Produce the ODIN load report: corpus description, ontology mapping, readiness state
  • Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
  • Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
  • Produce 50-100 label demonstration corpus across synthetic and mission-aligned content
  • Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
  • Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect

Must-Have Qualifications:

  • Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 5+ years total professional experience, 3+ years in data engineering or annotation operations
  • CVAT - deployment and day-to-day operation required; this is not a nice-to-have
  • Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
  • Full-motion video (FMV) annotation concepts and tooling
  • Python scripting for data wrangling, validation, and format conversion
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
  • CVAT annotation platform - AI feature configuration and operation
  • DoD or IC data program experience: CUI, distribution statements, federal data governance
  • Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
  • Video understanding or FMV annotation experience
  • DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

Phase D corpus production (Weeks 17-19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline

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