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Remote Data Labeling Jobs in Reston, VA (NOW HIRING)

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 ...

CPMC LLC

Records Manager

Tysons Corner, VA · Remote

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Support audits, FOIArelated searches, and agency data calls by locating and producing records ...

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Remote Data Labeling information

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 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 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 are popular job titles related to Remote Data Labeling jobs in Reston, VA?

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

What job categories do people searching Remote Data Labeling jobs in Reston, VA look for?

The top searched job categories for Remote Data Labeling jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Data Labeling jobs?

Cities near Reston, VA with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Reston, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Mid-Level Test Engineer - DHS

Springfield, VA • Remote

cFocus Software Incorporated
51 - 200 employees
Learn more about cFocus Software Incorporatedexternal

Full-time

Re-posted 17 days ago

Job description

cFocus Software seeks a Mid-Level Test Engineer 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 software/system testing or quality-engineering experience, including at least three years testing web, enterprise, cloud, geospatial, data-intensive, or mission-support applications.
  • Demonstrated experience developing comprehensive test plans, manual and automated test cases, traceability, test data, execution evidence, defect reports, results, and recommendations.
  • Experience performing functional, integration, end-to-end, regression, system, operational, security, performance, and user-acceptance-support testing.
  • Experience developing and maintaining automated tests using JavaScript, Visual Studio Code (VS Code), Cypress, Cucumber (BDD), and GitLab CI/CD.
  • Experience with test automation using a language or framework such as C#, Python, JavaScript/TypeScript, Selenium, Playwright, Cypress, pytest, NUnit, xUnit, or comparable tools.
  • Experience with Jira, Confluence, Git/GitLab, CI/CD pipelines, controlled environments, and Agile/Scrum delivery.
  • Ability to validate APIs, REST services, databases, data pipelines, identity/access functions, cloud components, and enterprise integrations.
  • Strong analytical, troubleshooting, technical-writing, organization, 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 testing ESRI Portal/ArcGIS Enterprise, ArcGIS Online, Experience Builder, ArcGIS API for JavaScript, dashboards, web maps, geodatabases, or geospatial services.
  • Experience testing .NET/C# applications, Python/Notebook automation, AWS-hosted systems, REST APIs, automated data ingestion, or real-time situational-awareness solutions.
  • Knowledge of Section 508/WCAG accessibility testing and tools, secure-software testing, vulnerability validation, DHS 4300A, or federal authorization environments.
  • Experience with performance/load tools, API-test tools, test-management platforms, static/dynamic security testing, or automated accessibility testing.
  • ISTQB, Certified Software Test Engineer (CSTE), Agile testing, accessibility, cloud, security, or relevant ESRI certification.
Duties:  
  • Develop risk-based test strategies, test plans, schedules, entry and exit criteria, test scenarios, test cases, test scripts, datasets, and expected results for new and modified GCIS capabilities.
  • Derive test criteria from documented business, functional, technical, operational, security, accessibility, interface, and performance requirements and applicable KPP thresholds/objectives.
  • Maintain bidirectional traceability among requirements, Jira stories, acceptance criteria, test cases, defects, evidence, results, and release decisions.
  • Identify test dependencies, environments, accounts, tools, data, interfaces, risks, constraints, and stakeholder participation needed for successful execution.
  • Review requirements and designs for clarity, completeness, testability, consistency, and measurable acceptance criteria; document gaps and recommend corrections before implementation
  • Develop new and maintain existing manual and automated test cases for geospatial applications, web maps, dashboards, data services, scripts, integrations, identity/access functions, and operational workflows.
  • Create reusable automated regression tests that improve coverage, repeatability, speed, and release confidence while following approved coding and configuration-management practices.
  • Support .NET/C#, ESRI APIs/SDKs, ArcGIS JavaScript, Experience Builder, Python, Notebook Server, REST services, and AWS-hosted solution testing using appropriate frameworks and tools.
  • Develop representative test data covering common, boundary, negative, error-handling, security, permission, data-quality, accessibility, and performance conditions.
  • Maintain automation code, test assets, configurations, dependencies, and execution instructions in GitLab or other DHS-approved repositories.
  • Conduct developmental and operational testing and execute functional, integration, end-to-end, system, regression, smoke, usability, data, interface, and user-acceptance-support tests.
  • Verify geospatial functions such as map rendering, layer behavior, symbology, pop-ups, labeling, spatial analysis, geocoding, data ingestion, publishing, dashboards, and situational-awareness workflows.
  • Validate integrations with enterprise systems, APIs, REST services, databases, identity services, cloud components, data feeds, and other approved interfaces.
  • Execute tests in approved development, staging, preproduction, and production-support contexts while protecting operational services and test data.
  • Capture complete, reproducible evidence including actual results, logs, screenshots, timestamps, environment/configuration details, data inputs, and pass/fail determinations
  • Develop and execute tests that confirm system integrity, security controls, access behavior, sensitive-data handling, and compliance with DHS MD 4300A and other applicable requirements.
  • Coordinate with the ISSO, developers, administrators, and security teams to validate vulnerability corrections, patches, configuration changes, and security-relevant release requirements.
  • Perform or support Section 508 accessibility testing for delivered information and communications technology and document findings, evidence, remediation needs, and retest results.
  • Validate IPv6 and/or dual-stack IPv6/IPv4 behavior for applicable application designs, interfaces, services, and integrations in accordance with SOW requirements.
  • Ensure testing activities, evidence, and reports comply with DHS test-and-evaluation, cybersecurity, privacy, records, configuration-management, and safeguarding requirements

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