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Data Labeler Jobs in Virginia (NOW HIRING)

Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP enterprise. * Ensure compliance with DoW policies on data classification and information security ...

Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics. * Understanding of Weibull distribution and use for ...

AI and ML Data Scientist

Mclean, VA · On-site

$77.60 - $176/hr

Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment * Ability to translate military ...

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Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment * Ability to translate military ...

AI and ML Data Scientist

Mclean, VA · On-site

$120 - $160/hr

... labeling, classification models, model evaluation, and data quality assessment • Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and ...

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Data Labeler information

See Virginia salary details

$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:
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.

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

Full-time

Re-posted 21 days ago


Job description

Geospatial AI Data Annotator

About Enabled Intelligence, Inc.

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!

Geospatial AI Data Annotator

Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.

Responsibilities

  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills

  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours

Desired Qualifications and Skills

  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV) 
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance

  • Applicants selected will be subject to background investigation. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.