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Remote Data Labeling Jobs in Virginia (NOW HIRING)

beeline Group

HRIS Specialist

Novato, CA · Remote

With our strong brands SIX, I AM, TOSH and several white and private labels, we're represented ... This is a Remote position based out of the US. *SAP HR experience is a must. Mission: To support HR ...

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site +1

$180K - $210K/yr

Data formats * APIs and ETL processes * Existing operational pipelines * Develop strategies to ... Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ...

Imh

$22.10 - $34.11/hr

... data and receive guidance on next steps to improve outcomes. * Functions as part of the ... Ongoing need for employee to see and read information, labels, assess patient needs, operate ...

Booz Allen Hamilton, Inc.

Network Engineer

Lorton, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0242179 Location: Lorton,VA,US Share job via: Share Network Engineer ... A well-designed network is critical to move data and enable the USG and commercial partners to ...

Booz Allen Hamilton, Inc.

Network Engineer

Norfolk, VA · On-site +1

$52K - $108K/yr

Remote Work: Hybrid Job Number: R0246197 Location: Norfolk,VA,US Share job via: Share Network ... A well-designed network is critical to move data and enable the command to achieve its missions ...

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Remote Data Labeling information

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Virginia?

The most popular types of Data Labeling jobs in Virginia are:

What are popular job titles related to Remote Data Labeling jobs in Virginia?

For Remote Data Labeling jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling jobs in Virginia look for?

The top searched job categories for Remote Data Labeling jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Labeling jobs?

Cities in Virginia with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Virginia as of July 2026, with employment types broken down into 45% Full Time, 22% Part Time, 7% Temporary, and 26% Contract. Highlights an 100% Remote job distribution.

Mid-Level Application Developer - DHS

cFocus Software Incorporated

Springfield, VA • On-site, Remote

Full-time

Posted 18 days ago

Job description

cFocus Software seeks a Mid-Level Application Developer to join our program supporting the Department of Homeland Security (DHS). This position is remote. This position requires a Public Trust Clearance.
Qualifications:
  • Bachelor's or master's degree in IT, Computer Science, Geography or a related field.
  • 5+ years of professional application-development experience, including at least three years developing or supporting geospatial, mapping, location-intelligence, data-visualization, or situational-awareness solutions.
  • Demonstrated experience developing and maintaining applications using C# and the .NET framework.
  • Experience using ESRI developer technologies such as ArcGIS Enterprise/Portal, ArcGIS Online, ESRI APIs and SDKs, ArcGIS API for JavaScript, Experience Builder, Dashboards, web maps, hosted layers, or comparable capabilities.
  • Proficiency with Python scripting and automation; experience with ArcGIS Notebooks, Jupyter notebooks, or comparable notebook-based workflows.
  • Experience developing and consuming REST APIs, integrating enterprise systems and data services, and working with JSON/GeoJSON, relational databases, geodatabases, and common geospatial formats.
  • Experience creating automated tests and executing unit, integration, regression, security, and operational test activities within a controlled software-delivery lifecycle.
  • Experience with Git-based source control and Agile delivery tools such as GitLab, Jira, and Confluence.
  • Strong analytical, troubleshooting, documentation, communication, and cross-functional collaboration skills.
  • Ability to satisfy DHS suitability, background-investigation, Entry on Duty, security, and system-access requirements for the assigned position.
  • Experience developing applications for DHS, another federal agency, public safety, emergency management, critical infrastructure, intelligence, defense, or homeland-security missions.
  • Experience deploying or supporting ESRI and custom web applications in AWS or another enterprise cloud environment.
  • Knowledge of ArcGIS Enterprise administration concepts, identity integration, role- and attribute-based access control, geospatial data publishing, and enterprise geodatabase patterns.
  • Experience with Section 508/WCAG accessibility, secure coding, DevSecOps pipelines, static or dynamic application-security testing, and vulnerability remediation.
  • Working knowledge of IPv6/dual-stack application design, federal cloud and security requirements, DHS SELC artifacts, and formal change-control boards.
  • Experience with AI-enabled geospatial workflows, automated data ingestion, real-time dashboards, performance monitoring, or high-availability mission applications.
Duties:
  • Design, develop, enhance, debug, and maintain custom geospatial and situational-awareness applications and tools for the GII, COP, and HIFLD mission environments.
  • Develop and maintain application components using the .NET framework, C#, ESRI APIs and SDKs, and other Government-approved technologies in the existing GCIS technical architecture.
  • Create custom web applications using ESRI Experience Builder and the ArcGIS API for JavaScript; configure interactive dashboards, web maps, layers, symbology, pop-ups, labeling, and mission-focused visualization experiences.
  • Participate in application and data architecture decisions involving client/server processing, relational and geospatial databases, data storage and access, interfaces, interoperability, and enterprise integration.
  • Build maintainable, reusable, and well-documented code that supports evolving operational requirements, system scalability, reliability, security, and efficient lifecycle maintenance.
  • Maintain compatibility with current ESRI software releases and implement approved features, fixes, and enhancements without unnecessary disruption to ongoing operations.
  • Develop Python and ArcGIS Notebook scripts that automate geospatial data processing, analysis, ingestion, publishing, monitoring, and reporting tasks.
  • Implement automated workflows that reduce manual intervention and reliably process structured and unstructured geospatial information in supported formats.
  • Support integrations and ingestion involving CSV, TXT, GPX, JSON, GeoJSON, geodatabases, shapefiles, KML, BIM, LAS, APIs, and REST services.
  • Implement geocoding and locational metadata capabilities using addresses, latitude/longitude, Military Grid Reference System (MGRS), and United States National Grid (USNG) coordinates as required.
  • Evaluate and implement approved AI-assisted or AI-driven workflow enhancements that improve efficiency, adapt to real-time data, and optimize geospatial handling while complying with DHS policy and governance
  • Integrate geospatial applications, web services, data feeds, identity services, databases, and other enterprise systems to improve mission functionality and secure information sharing.
  • Develop testing criteria from operational requirements and key performance parameters; create comprehensive test plans, test scripts, test cases, and traceable expected results.
  • Develop and maintain manual and automated tests; conduct developmental, integration, regression, security, accessibility, and operational testing and capture evidence and results.
  • Analyze test outcomes, document defects, troubleshoot root causes, implement corrective actions, and report conclusions and recommendations.
  • Participate in code reviews, configuration management, change-impact analysis, release readiness reviews, and validation that only approved and tested changes are incorporated.
  • Produce per-release custom application code, test artifacts, integration documentation, technical specifications, data-flow diagrams, and integration-test results.
  • Support deployments, upgrades, releases, emergency fixes, and application enhancements across development, staging, preproduction, and production environments.
  • Prepare deployment documentation and obtain required approvals before releases: SDD Change Control Board approval for preproduction and both SDD CCB and Infrastructure Change Control Board approval for production.
  • Coordinate application activities with the DHS Enterprise Cloud Team, OneNet, DHS data centers, AWS providers, system administrators, security teams, and other technical stakeholders.
  • Diagnose and resolve application defects, integration issues, performance problems, and user-reported incidents; document solutions and escalate complex infrastructure or specialized issues appropriately.
  • Monitor application health, utilization, reliability, availability, maintainability, performance, and user feedback; recommend and implement approved improvements.
  • Create and update technical documentation, installation and deployment instructions, user guides, FAQs, troubleshooting materials, SOPs, and knowledge-base content

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