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Data Labelling Jobs in Virginia (NOW HIRING)

Establish secure crossdomain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

Senior AI/ML Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

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Data Labelling information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data labelling jobs pay per year?

As of Jun 21, 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 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.

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 cities in Virginia are hiring for Data Labelling jobs? Cities in Virginia with the most Data Labelling job openings:
Data Architect, SME

$146K - $234K/yr

Full-time

Posted 28 days ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

45th of 204 rated it services


Job description

Responsibilities

We are seeking a highly skilled and innovative Data Architect SME to join our team in the greater DMV area, supporting the Army National Guard.

Responsibilities

  • Define enterprise data architecture reference models, integration patterns, data standards, and governance constructs to enable secure, scalable analytics and application ecosystems across cloud, hybrid, and distributed environments.
  • Review and adjudicate enterprise data models, schemas, data flows, and modernization roadmaps to ensure alignment with Agile/DevSecOps, PDLC/SDLC, DoDAF, and DoD/Army policy frameworks.
  • Advise senior leadership on ERP transitions, interoperability constraints, data quality risk, and architectural tradeoffs impacting Force Management, PPBE, GFM DI, and modeling & simulation initiatives.
  • Integrate RMF controls, STIG/CVM considerations, DoDAF viewpoints, and auditability requirements into data architecture decisions and solution designs.
  • Establish secure crossdomain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability management workflows.
  • Define enterprise data performance metrics, cataloging/taxonomy standards, master data management practices, and data lineage/traceability processes.
  • Coordinate with system, application, cloud, and security teams to validate data interfacing, ETL/ELT pipelines, ingestion, normalization, and retention strategies.
  • Produce architecture artifacts, decision packages, data roadmaps, and executive briefs to support portfolio modernization and funding decisions.
  • Lead data architecture governance boards, mentor data engineering teams, and drive continuous improvement of data practices and tooling.

#ENOCS

Qualifications

Qualifications

  • Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
  • Clearance: Active TS/SCI clearance.

  • Candidate must meet ONE of the following:

    • Master's degree or Ph.D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology, Software Engineering, or a related field; OR
    • Relevant DoD/military training (example: Enterprise Architect (Advanced) Playlist); OR
    • Relevant professional certification or equivalent experience (examples: CISSO, CISSPISSAP, CISSPISSEP, GCIA, GCLD, GCSA, GICSP).
  • Required experience and skills:

    • Data architecture, enterprise architecture, or systems engineering experience with at least 7 years leading data architecture for large or regulated organizations.
    • Demonstrated expertise in data modeling, metadata management, MDM, data catalogs, ETL/ELT design, data lineage, and data quality frameworks.
    • Handson knowledge of integration patterns, APIs, messaging/streaming platforms, cloud data services (AWS/Azure/GCP), and analytics platforms.
    • Strong understanding of RMF/ATO impacts on data flows, STIG/CVM implications, DoDAF artifact production, and audit/evidence requirements.
    • Proven ability to produce decisiongrade data roadmaps, CONOPS, ROMs/COAs, and executive briefings; strong stakeholder facilitation skills.
  • Desired:

    • Expert certifications (preferred): CASP+, AWS Professional, or similar cloud/data professional credentials.
    • Prior DoD/ARNG data architecture or enterprise program experience, and familiarity with Army forcemanagement and PPBE data domains.
    • Experience implementing secure crossdomain/datasharing solutions and enterprise data governance at scale.

#ENOCS

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017