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Data Labelling Jobs in Virginia (NOW HIRING)

Novul Solutions

Data Architect - TS/SCI

Arlington, VA · On-site

$135K - $160K/yr

This role focuses heavily on data tagging, labeling, governance, lifecycle management, and compliance across the DoW SAP enterprise. The ideal candidate will have strong experience designing and ...

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 ...

KaashTech LLC

Data Governance Engineer

Arlington, VA · On-site

Experience * 6-12+ years in Data Governance / Metadata Engineering / Data Platform governance ... Classification rules, sensitivity labels, glossary, lineage settings * Enable Fabric integration ...

KaashTech LLC

Data Governance Engineer

Arlington, VA · On-site

Experience * 6-12+ years in Data Governance / Metadata Engineering / Data Platform governance ... Classification rules, sensitivity labels, glossary, lineage settings * Enable Fabric integration ...

MetroStar

Sr. Data Engineer II (6682)

Tysons Corner, VA · On-site

$152K - $188K/yr

Strong Experience with ETL, data labeling, and data preparation * Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka * Strong ...

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 ...

Geo Owl

Senior Data Scientist

Springfield, VA · On-site

As a Senior Data Scientist on AGAIM, you'll own the data architecture and pipeline infrastructure ... it for labeling and model testing, and move it between platforms via API. You'll bring deep ...

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 ...

Geo Owl

Senior Data Scientist

Springfield, VA · On-site

As a Senior Data Scientist on AGAIM, you'll own the data architecture and pipeline infrastructure ... it for labeling and model testing, and move it between platforms via API. You'll bring deep ...

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 ...

Geo Owl

Senior Data Scientist

Springfield, VA · On-site

... for labeling and model testing • Monitor data health and pipeline availability; address issues that could block imagery delivery to the accreditation testing pipeline • Ensure all sensor data ...

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Data Labelling information

What does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the Data Labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
What are the most commonly searched types of Data Labelling jobs in Virginia? The most popular types of Data Labelling jobs in Virginia are:
What are popular job titles related to Data Labelling jobs in Virginia? For Data Labelling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Virginia look for? The top searched job categories for Data Labelling jobs in Virginia are:
What cities in Virginia are hiring for Data Labelling jobs? Cities in Virginia with the most Data Labelling job openings:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect - TS/SCI

Novul Solutions

Arlington, VA • On-site

$135K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

We are seeking an experienced Data Architect to support enterprise-wide data governance, classification, and protection initiatives within a secure Department of Defense environment. This role focuses heavily on data tagging, labeling, governance, lifecycle management, and compliance across the DoW SAP enterprise. The ideal candidate will have strong experience designing and implementing enterprise data governance frameworks while ensuring sensitive data is appropriately classified, protected, and managed in accordance with federal and DoD security requirements.

Key Responsibilities:
  • Establish and manage enterprise-wide data classification and categorization standards based on sensitivity, mission-criticality, and regulatory requirements.
  • Lead coordination and deployment of enterprise data tagging and labeling mechanisms across DoW SAP environments.
  • Ensure compliance with DoD and DoW data classification and information security policies, including DoDI 5200.01.
  • Design and implement enterprise data governance frameworks, policies, standards, and operating procedures.
  • Define roles and responsibilities for data ownership, stewardship, and custodianship across the organization.
  • Develop and maintain data lifecycle management processes to ensure integrity, availability, security, and compliance of enterprise data.
  • Implement data security controls, privacy protections, and safeguards for sensitive and classified information.
  • Evaluate, recommend, and integrate data governance tools, technologies, and automation capabilities.
  • Standardize enterprise data collection, integration, and management processes across multiple systems and environments.
  • Develop implementation plans for data masking, data protection, and sensitive data handling solutions.
  • Collaborate with cybersecurity, compliance, engineering, and mission stakeholders to align governance initiatives with operational requirements.
  • Support audit readiness, policy enforcement, and data compliance reporting activities.


Requirements
Required Qualifications:
  • Bachelor’s Degree with 10+ years of relevant experience
  • OR
  • High School Diploma with 14+ years of relevant experience
  • Active TS/SCI clearance required.
  • Proven experience with enterprise data tagging and labeling initiatives.
  • Strong background in data governance, data architecture, and data management frameworks.
  • Experience implementing data classification, data masking, and data protection solutions.
  • Knowledge of DoD information security standards, governance frameworks, and compliance requirements.
  • Experience developing enterprise data policies, standards, and governance documentation.
  • Strong understanding of data lifecycle management, metadata management, and data stewardship principles.
  • Excellent communication and stakeholder coordination skills.
Preferred Qualifications:
  • Experience supporting DoW and/or DoW SAP environments.
  • Familiarity with enterprise governance and compliance platforms.
  • Experience supporting classified or highly regulated environments.
  • Understanding of data privacy, security architecture, and risk management best practices.
  • Experience integrating governance tooling within large-scale enterprise systems.

Benefits
Core Benefits:
  • Paid Time Off PTO):TEN (10) Paid days off & FIVE (5) Floating days off.
  • Holidays: 11 Paid Holidays. Flex time can be utilized instead of holiday time usage.
  • Payroll: Paid Bi-Monthly.
  • 401(k): Partnered with the SECOND LARGEST Retirement plan provider in the U.S. Guaranteed 3% match. Eligibility – 21 years of age or older, after 3 months of employment
  • Individual or company-wide performance and recognition awards (Quarterly

Health Benefits:

  • UNITED HEALTHCARE PPO, extensive national coverage.
  • INCLUDES: Medical/Dental/Vision/HSA.
  • Eligible on the first of the month, immediately after the start date.
  • Submit the enrollment form within 30 days of your start date otherwise, you will have to wait until October for the new year enrollment.

Quality of Life Benefits:

  • Training & Career Development Reimbursement of Tuition and training needed to support career development.
  • $150 monthly reimbursement contribution paid monthly towards parking expenses.
  • Receipts must be submitted by the close of business on the 25th of each month.
  • Reimbursements will be paid on the first payroll AFTER reimbursements are submitted each month.

Special Benefits:
  • Performance bonus – Project-based
  • Yearly bonus – Company based

Apply Now!
You can also email your resume to careers@novulsolutions.com. We look forward to reviewing your application!