1

Virtual Data Labelling Jobs in Virginia (NOW HIRING)

... Label Security, Virtual Private Database โ€ข RMF and ICD 503 Qualifications : Required : โ€ข Experience working with geospatial data types (vectors) โ€ข Strong experience with architecting and ...

Includes experience with VMware, Azure virtual desktop, and Citrix. * Experience with container ... Deep understanding of Cross Domain Solution technologies, data labeling, guard configurations, and ...

New

Includes experience with VMware, Azure virtual desktop, and Citrix. * Experience with container ... Deep understanding of Cross Domain Solution technologies, data labeling, guard configurations, and ...

New

Network Engineer

Lorton, VA ยท On-site

$62K - $141K/yr

A well-designed network is critical to move data and enable the USG and commercial partners to ... label switching, gateway protocol, virtual routing and forwarding to support the nation's defense ...

Network Engineer

Lorton, VA ยท On-site

$62K - $141K/yr

A well-designed network is critical to move data and enable the USG and commercial partners to ... label switching, gateway protocol, virtual routing and forwarding to support the nation's defense ...

next page

Showing results 1-20

Virtual Data Labelling information

What is the difference between Virtual Data Labelling vs Data Annotation Specialist?

AspectVirtual Data LabellingData Annotation Specialist
CredentialsBasic computer skills, training in labelling toolsSimilar, often requires training in annotation software
Work EnvironmentRemote, online platformsRemote or on-site, depending on employer
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentLabeling data for AI modelsAnnotating data for machine learning

Both roles involve preparing data for AI systems, but Virtual Data Labelling focuses on assigning labels to datasets using online tools, while Data Annotation Specialists may perform more detailed annotations, often requiring specific domain knowledge. Both are essential in AI development and share similar work environments and skill requirements.

What is virtual data labelling?

Virtual data labelling is the process of annotating or tagging data, such as images, videos, or text, through online platforms to make it understandable for machine learning algorithms. Data labelers work remotely to identify and categorize objects, features, or information within datasets, which helps train artificial intelligence systems. This job is essential in industries like autonomous vehicles, healthcare, and e-commerce, where large volumes of labelled data are needed to improve AI accuracy.

How does a virtual data labeller typically collaborate with data scientists and machine learning engineers?

Virtual data labellers play a crucial role in supporting data scientists and machine learning engineers by accurately tagging data that will be used to train and validate models. Collaboration often occurs through project management tools or direct communication platforms, where labellers receive guidelines and feedback to ensure consistency and quality. Regular check-ins or quality audits are common, and labellers may join virtual meetings to clarify requirements or discuss ambiguous cases. This teamwork helps ensure that the labelled data meets project standards and contributes to the success of AI initiatives.

What are the key skills and qualifications needed to thrive as a Virtual Data Labeller, and why are they important?

To thrive as a Virtual Data Labeller, you need strong attention to detail, accuracy, and basic data processing skills, typically supported by a high school diploma or relevant experience. Familiarity with data annotation tools, content management systems, and sometimes basic programming or spreadsheet software is important. Strong time management, focus, and effective communication skills help you meet deadlines and collaborate with remote teams. These abilities are crucial to ensure high-quality, consistent data labelling that directly impacts the performance of machine learning models.
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 Virtual Data Labelling jobs in Virginia look for? The top searched job categories for Virtual Data Labelling jobs in Virginia are:
What cities in Virginia are hiring for Virtual Data Labelling jobs? Cities in Virginia with the most Virtual Data Labelling job openings:
Infographic showing various Virtual 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 Center Deployment Technician

Desktop & Depot Support

Manassas, VA โ€ข On-site

$70K - $75K/yr

Full-time

Medical, Retirement

Re-posted 9 days ago


Job description

Description:

Are you looking to take the next steps in your career as a Data Center Deployment Technician? Let's chat and see if we are a good match!


Opportunity:


Virtual Service Operations is seeking a highly technical Data Center Deployment / Infrastructure Technician (Generalist) with hands-on experience supporting liquid cooling systems, structured cabling, and low-voltage power infrastructure in live data center environments. This role requires strong hands-and-eyes capability, troubleshooting expertise, and the ability to execute installation and commissioning activities with minimal supervision.


Responsibilities:


Liquid Cooling & Mechanical Support

  • Operate and support DSIM software for hardware planning, asset placement, and rack layout validation.
  • Perform fill and purge operations on liquid cooling systems, including nitrogen purging and filling PG25 coolant through 25-micron filtration systems.
  • Safely operate pumps and related equipment in accordance with site safety and procedural standards. Support commissioning and validation of liquid-cooled infrastructure.

Power & Electrical (Low Voltage)

  • Support low-voltage engineering tasks, including interpretation and execution of power Work Instructions (WIs).
  • Participate in L4 Bronze Commissioning activities, including commissioning secondary CDU loops.
  • Verify power paths, labeling, and connectivity during deployment and commissioning.

Cabling & Network Infrastructure

  • Install and maintain structured cabling for Top-of-Rack (TOR) switches and IOI cabling.
  • Troubleshoot existing cable plant and network cabling infrastructure (beyond basic cable lacing)
  • Validate labeling, routing, bend radius, and workmanship against engineering standards.

Rack & Hardware Deployment

  • Perform rack and stack activities for servers, networking equipment, and supporting hardware.
  • Validate rack placement based on floor layouts and tile positioning.
  • Support hardware planning using DSIM, floor plans, and rack elevation drawings.
  • Provide hands-and-eyes support for remote engineers and operations teams.

Testing & Validation

  • Use Fluke meters (or equivalent) to test cabling and connectivity.
  • Document and report installation results and discrepancies accurately.
Requirements:
  • Hands-on experience with DSIM and data center hardware planning tools.
  • Experience supporting liquid cooling systems, including fill and purge procedures.
  • Strong understanding of structured cabling in data center environments.
  • Experience with low-voltage power systems and commissioning support.
  • Ability to safely troubleshoot live infrastructure in production environments.
  • Please note that pursuant to a government contract, this specific position requires U.S. citizenship status.

Physical & Work Environment Requirements:

  • Ability to lift and install equipment in rack environments in accordance with safety guidelines.
  • Ability to work on ladders, under raised floors, and in confined spaces.
  • Availability to work maintenance windows or extended hours as required.

Preferred Qualifications:

  • Experience with liquid cooled AI or high-density compute environments.
  • CDU commissioning and coolant loop validation experience.
  • Ability to read and interpret floor plans, rack elevations, and power-network diagrams.
  • Prior hyperscale or large enterprise data center experience.



What is Important to Us:

  • You are an excellent communicator in writing and speaking.
  • You have the ability to work independently but also value teamwork.
  • Your problem-solving skills are excellent.
  • You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career.
  • You seek a community of virtue-centered co-workers and clients.

What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone. We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements.


More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSOโ€™s success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at https://vso-inc.com/careers