1

Data Labelling Jobs in Virginia (NOW HIRING)

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 ...

next page

Showing results 1-20

Data Labelling information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data labelling jobs pay per year?

As of May 30, 2026, the average yearly pay for data labelling in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

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 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.

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 most commonly searched types of Data Labelling jobs in Virginia? The most popular types of Data Labelling jobs in Virginia 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:
Infographic showing various Data Labelling job openings in Virginia as of May 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Analytics Engineer - PRIME, Hybrid - TS/SCI

stanleyreid

Sterling, VA • Hybrid

$113.40K - $136.20K/yr

Other

Medical, Retirement, PTO

Posted 26 days ago


Job description

Who We Are
Stanley Reid is a specialized recruiting firm connecting top contractors with exciting IC/DoD opportunities. We're dedicated to a personalized, stress-free job search, matching your unique skills and goals with the perfect role.
About Our Client
Our client is a woman-owned small business supporting critical missions in the IC/DoD. They specialize in cybersecurity, software development, data science, and cloud migration

Enjoy a close-knit team and exceptional benefits, including full-paid medical, 4 weeks PTO, 6% 401K match, and over $5K for training.
The Role
Our client is seeking a Data Profiler to support the research, normalization, and correlation of mission-critical data sets. In this role, you will leverage SIEM platforms to author complex queries and develop analytics that drive data integrity. You will work across a variety of cyber data sources to perform extraction, custom translation, and loading, ensuring data is properly prepped and labeled for high-level analytics

This position is ideal for a detail-oriented professional who can navigate technical complexities and work effectively in both independent and team environments.
What You'll Bring
Experience: Technical BS + 9 years of total relevant experience (3 years specific to the role plus 6 years in similar data analytical positions; 4 years of additional experience may substitue for a degree).
Technical Skills: Proficiency with SIEM tools (Splunk, Elastic) and the ability to author complex queries (SPL, SQL Kibana, or Sigma Rules).
Core Competencies: Fluency in ETL processes, custom translation development, and data labeling
Domain Knowledge: Technical experience in cyber data analysis, including continuous monitoring, intelligence, and reporting
Desired Extras: Familiarity with the OSI model, common network protocols, and various log formats (JSON, EML). Experience with Jupyter notebooks or Big Data
Platforms (BDP/JCC2) is a plus
Certifications: DoD IAT II or higher (Sec+, etc) required for consideration
*Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements.
Clearance Requirement
Active TS/SCI is required; CI poly preferred. note, you must have the required clearance for consideration, under-cleared applicants will not receive a response
Location
San Antonio, TX: Columbia, MD; or Sterling, VA (Hybrid)
Ready for Next Steps?
We encourage you to apply and connect with us even if a direct match isn't currently listed

Apply online at https://careers.stanleyreid.com/or contact our MD team for more info: mwhitford@stanleyreid.com, asmith@stanleyreid.com.
Please Note:
Due to high application volume, we are unable to confirm receipt of submissions or provide updates. Will will contact you directly if there is a match. Opportunities change frequently; We cannot guarantee availability.
Posted on 03/17/2026