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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 ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

Identify errors/omissions of variable formats or labels. * Document problems and proposed corrections before finalizing the data set. * Review the data files to document problems and proposed ...

Aitopics

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

Preprocess and standardize data for labeling and model testing Benefits * 401k matching * 401k program * 401k retirement plan * 401k match * Adoption assistance * Backup childcare * Discounts on ...

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All JobsData Labeler JobsData Labeler Jobs in Virginia

Data Labeler information

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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.

Data Scientist - Senior

GRVTY

Falls Church, VA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. 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 imagery curation efforts.
Responsibilities:
• Integrate emerging sensors and platforms into existing data pipelines and workflows, including: Developing pipelines and relevant data structures for emerging capabilities Incorporating new data types into existing data workflows
• Assess potential differences in metadata, data format, and data structure characteristics regarding changes to: Databases and schemas APIs and other ETL-related processes Ingestion and movement of data within the existing data operations pipelines
• Conduct analysis of how emerging data impacts overall program data holdings from the perspective of: Machine Learning model development Test and evaluation use cases Real-world operational use cases
• Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
• Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
• Lead projects using advanced mathematical, statistical, and scientific techniques to: Examine complex mission and operational problems Create insights from data
• Build web scraping algorithms for imagery curation in accordance with customer data priorities
• Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities
• Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
• Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
• Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping
• Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities
• Build software tools to manage labeling campaigns, including: Tracking unlabeled and labeled data and campaign status 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 with existing data management platforms
• Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements
• Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation
Qualifications:
Required:
• Active TS/SCI Clearance with the ability to obtain a CI/Poly
• Experience working with AI/ML technologies and data systems
• Experience working with multiple file types including: Geospatial file formats, JSON, XML, and related formats
• 3+ years of experience in quantitative analysis and data operations, including: Developing visualizations and processing complex data to create data-driven insights, Data manipulation and ETL procedures, Working knowledge of SQL and NoSQL database technologies
• Development experience in Python and other languages for data cleaning and manipulation
Preferred:
• Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
• Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices
• Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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