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Data Labeler Remote 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 ...

BAE Systems

Senior EO Imagery Analyst / Scientist

Falls Church, VA · On-site +1

$118K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data standards or to be transformed into a usable state for labeling and model testing purposes ... An understanding of the principles of remote sensing and imagery processing and advanced ...

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 ...

VB Spine

Sr. Staff Regulatory Affairs Specialist

Leesburg, VA · On-site +1

$135K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Allendale, NJ, Leesburg, VA, or Remote Company: VB Spine Looking for a career where your work truly ... Support global registration activities by providing data, developing documentation, and ...

RIVA Solutions Inc.

Senior Trusted Tester 508 Specialist

Reston, VA · On-site +1

$85K - $118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hybrid or Remote Terms: Full Time Clearance: U.S. Citizenship Preferred; Ability to Obtain Public ... Test web pages, Drupal templates, forms, PDFs, Word documents, data visualizations, multimedia ...

RIVA Solutions Inc.

Senior Trusted Tester 508 Specialist

Reston, VA · On-site +1

$85K - $118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hybrid or Remote Terms: Full Time Clearance: U.S. Citizenship Preferred; Ability to Obtain Public ... Test web pages, Drupal templates, forms, PDFs, Word documents, data visualizations, multimedia ...

RIVA Solutions Inc.

Senior Trusted Tester 508 Specialist

Reston, VA · On-site +1

$85K - $118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hybrid or Remote Terms: Full Time Clearance: U.S. Citizenship Preferred; Ability to Obtain Public ... Test web pages, Drupal templates, forms, PDFs, Word documents, data visualizations, multimedia ...

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 ...

Ardent Principles, Inc

Cloud Solutions Architect

Chantilly, VA · On-site +1

$65 - $89/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We offer advanced services in data science, data engineering, software engineering, AI solutions ... documenting, labeling, and configuration of KVM switching for console and remote access.

Booz Allen Hamilton, Inc.

Network Engineer

Lorton, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

CONVERGINT TECHNOLOGIES

Electrical Installer 1

Chantilly, VA · Remote

$22 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic ability to read and understand blueprints, design drawings including wiring and labeling ... If the position is posted in multiple locations or is a remote position, the salary range may vary.

Booz Allen Hamilton, Inc.

Network Engineer

Norfolk, VA · On-site +1

$52K - $108K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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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Showing results 21-38

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Virginia

Data Labeler Remote information

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

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

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

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

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

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

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

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

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

Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Virginia as of August 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 100% Remote job distribution.

Mid-Level Application Developer - DHS

cFocus Software Incorporated

Springfield, VA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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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