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Data Labeler Jobs in Virginia (NOW HIRING)

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

GRVTY

Data Scientist - Senior

Falls Church, VA

Transferring label task information via API-based movement between platforms * Build software tools to: * Filter and visualize data geospatially * Allow feedback entry and data analysis * Integrate ...

CBRE

Union Data Center Installer

Boydton, VA · On-site

CBRE | DIRECTLINE, a CBRE Data Center Solutions business, is a leading technology infrastructure ... Affixing Labels to cabling and Power Cords * Affix bar coding to equipment * Affix free printed ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

Transferring label task information via API-based movement between platforms * Build software tools to: * Filter and visualize data geospatially * Allow feedback entry and data analysis * Integrate ...

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All JobsData Labeler JobsData Labeler Jobs in Virginia

Data Labeler information

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$10

$13

$16

How much do data labeler jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data labeler in Virginia is $13.85, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $15.24 per hour, depending on experience, location, and employer.

What is a data labeler?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

What does a data labeler do?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

What skills and qualifications are needed to be a data labeler?

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

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 jobs in Virginia? For Data Labeler jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Labeler jobs in Virginia look for? The top searched job categories for Data Labeler jobs in Virginia are:
What cities in Virginia are hiring for Data Labeler jobs? Cities in Virginia with the most Data Labeler job openings:
Data Labeler jobs near you
Infographic showing various Data Labeler job openings in Virginia as of July 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $28,803 per year, or $13.8 per hour.

Exploitation Specialist/Data Scientist- Senior with Security Clearance

GRVTY

Falls Church, VA • On-site

Other

Re-posted 18 days ago

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced Data scientist experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You'll be Owning * Data Architecture & ETL Pipeline Construction * Design and implement robust database tables and schemas tailored for novel sensor data. * Build end-to-end Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines. * Establish automated data health monitoring, validation checks, and system alerts to detect pipeline anomalies. * API Integration & Cross-Platform Interoperability * Develop secure, scalable workflows to automate API-based data movement across disparate data platforms. * Ensure full alignment with government-mandated data governance protocols, standardized schemas, and transmission formats. * Impact Analysis & System Integration * Conduct technical impact assessments on how novel data metadata, structures, and formats interact with existing production pipelines. * Identify potential bottlenecks or system regressions when modifying active databases, schemas, or ingestion endpoints. * Geospatial & Imagery Pre-processing * Standardize and format raw sensor data to make it immediately viable for downstream data labeling and machine learning model testing. * Perform complex geospatial manipulations, including converting file format types, orthorectification, and chipping (tiling large imagery into specific pixel sizes or geospatial bounds). What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI/Poly * 4+ years of experience working with SQL or NoSQL databases and cloud architectures * Experience leveraging APIs to query systems and migrate data * Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. * Experience with programming languages such as Python, JavaScript, or Java * Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces. What Would be Nice to Have * Experience working with NGA IT enterprise solutions , Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates * Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise. * Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines

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