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Data Labeler Remote Jobs in Washington (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 ...

SAIC

Platform Design Manager

Washington, DC · Remote

Public Trust Potential for Remote Work: ORA_ON_SITE Description Job Summary : We are seeking a Lead ... Dataverse and SharePoint lists as data sources * Automate business processes and workflows using:

New

Emergent Biosolutions

Sr. Counsel (remote)

Gaithersburg, MD · On-site +1

$152K - $206K/yr

... data privacy initiatives, social media, use of endorsers and/or celebrities, drug labeling, strategic plans and tactics, competitive issues, and interactions with nonprofits. * Support Government ...

Emergent Biosolutions

Sr. Counsel (remote)

Gaithersburg, MD · On-site +1

$152K - $206K/yr

... data privacy initiatives, social media, use of endorsers and/or celebrities, drug labeling, strategic plans and tactics, competitive issues, and interactions with nonprofits. * Support Government ...

Emergent Biosolutions

Sr. Counsel (remote)

Gaithersburg, MD · On-site +1

$150K - $204K/yr

... data privacy initiatives, social media, use of endorsers and/or celebrities, drug labeling, strategic plans and tactics, competitive issues, and interactions with nonprofits. * Support Government ...

Custom Software Systems, Inc.

Be Seen First

DevSecOps Engineer

Washington, DC · Remote

$145K - $160K/yr

... Remote) With occasional travel to Washington, DC. Responsibilities · Engineer secure CI/CD ... data-normalization and labeling standards across tools that don't natively agree. · Harden and ...

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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 Washington?

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

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

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

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

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

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

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

Infographic showing various Data Labeler Remote job openings in Washington as of August 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% 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 19 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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