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Remote Data Labelling 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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Showing results 41-60

All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Washington

Remote Data Labelling information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do remote data labelling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data labelling in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

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

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

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

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

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

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

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Washington as of August 2026, with employment types broken down into 51% Part Time, and 49% Contract. Highlights an 100% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

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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