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Virtual Data Labelling Jobs (NOW HIRING)

Akima, LLC

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Knowledge of the characteristics of physical and virtual data storage media. * Ability to analyze ... Ability to design the best approach and architecture for automated data labeling and data lifecycle.

Akima

Data Architect with Security Clearance

Austin, TX · On-site

$62.25 - $80/hr

Knowledge of the characteristics of physical and virtual data storage media. * Ability to analyze ... Ability to design the best approach and architecture for automated data labeling and data lifecycle.

Lockheed Martin

Data Architect Senior Staff

Lexington, KY · On-site

$64 - $85.75/hr

Architecture & Design • Define physical/virtual data structures, security, backup & recovery ... Implementing data labeling governance to improve discoverability and understandability.

Booz Allen Hamilton

Data Engineer

Aiea, HI · On-site

$77K - $176K/yr

Experience with data labeling and tagging solutions such as Purview, Fortra, or Titus * Experience ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

The Boutique COO

Virtual Assistant

$21.75 - $29.25/hr

... data entry, and more * Adjusting seamlessly to clients' changing priorities, needs and deadlines ... labels, or any physical, mental, or emotional abuse.

Booz Allen Hamilton

$77K - $176K/yr

Experience with data labeling and tagging solutions such as Purview, Fortra, or Titus * Experience ... virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first ...

Buyers Edge Platform, LLC

Tableau Data Architect

Waltham, MA · Remote

$68.75 - $88.50/hr

... labels), metric governance via Tableau Pulse, and enforcement of naming conventions, access ... Design and manage Virtual Connections and published data sources to centralize data access and ...

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Virtual Data Labelling information

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$46K

$165K

$243.5K

How much do virtual data labelling jobs pay per year?

As of Aug 4, 2026, the average yearly pay for virtual data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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.
More about Virtual Data Labelling jobs
What cities are hiring for Virtual Data Labelling jobs? Cities with the most Virtual Data Labelling job openings:
What are the most commonly searched types of Data Labelling jobs? The most popular types of Data Labelling jobs are:
What states have the most Virtual Data Labelling jobs? States with the most job openings for Virtual Data Labelling jobs include:
What job categories do people searching Virtual Data Labelling jobs look for? The top searched job categories for Virtual Data Labelling jobs are:
Virtual Data Labelling jobs near you
Infographic showing various Virtual Data Labelling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Architect

Akima, LLC

Austin, TX • On-site

$63.25 - $81.25/hr

Full-time

Retirement

Posted 5 days ago

Akima rating

6.8

Company rating: 6.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

319th of 439 rated engineering

Job description

About the Mission
The Army Software Factory (ASWF) in Austin is one of the most ambitious software initiatives in the federal government. We operate like a modern, high-growth technology startup embedded within the military, transforming active-duty Soldiers into software engineers through real-world, production-level development.
We don't just build software to support the mission; we build the people who build the software. We utilize modern methodologies like Extreme Programming (XP), Lean Product Development, and User-Centered Design (UCD) inside cross-functional, balanced teams.
Responsibilities
The Data Architect provides architecture, design, engineering, and management support services to the Chief Data Officer to enable ASWF to create and maintain data pipeline architectures to automate the processing of large complex data sets.
Qualifications
  • 10 years of experience with at least 3 years' DOD experience.
  • Knowledge of DoD and Army data (including metadata) administration and data standardization policies and standards.
  • Knowledge of the capabilities and functionality associated with various technologies for organizing and managing data at rest and in transit.
  • Knowledge of the characteristics of physical and virtual data storage media.
  • Ability to analyze and plan for anticipated changes in data capacity requirement and determine, recommend, and plan the development of a new application or modification of an existing application.
  • Ability to provide recommendations on new database technologies and architectures.
  • Ability to advise higher level leadership on critical data architecture and management issues.
  • Knowledge of cloud computing deployment models in private, public, and hybrid environments and the difference between on-premises and off-premises environments.
  • Knowledge of data operations (DataOps) processes and best practices.
  • Ability to design the best approach and architecture for automated data labeling and data lifecycle.
  • Knowledge of how commercial and federal solutions solve Defense-related data environment and platform challenges.
  • Knowledge of Personally Identifiable Information (PII), National Security System (NSS), and Personal Health Information (PHI) data security standards.
  • Clearance Note:
    • Interim Secret Clearance Required: Because of the mission context, candidates must be eligible to obtain an Interim Secret clearance to start. Don't let this deter you if you don't currently hold one-we support and guide qualified candidates entirely through the clearance process.

Job ID
2026-24601
Work Type
On-Site
Company Description
Work Where it Matters
Systems Intelligence, an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.
At Systems Intelligence, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders, Systems Intelligence provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.
For our government customers, Systems Intelligence delivers innovative information technology solutions that evolve and modernize IT infrastructures.
As a Systems Intelligence employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

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About Akima

Sourced by ZipRecruiter

As an Alaska Native Corporation headquartered in Herndon, Virginia, Akima is dedicated to delivering superior outcomes for our customers’ missions while simultaneously creating a long-lived asset for our Iñupiat shareholders. Akima maintains a portfolio of small businesses, 8(a) companies, and operating companies that deliver simplified and accelerated access to the products and services agencies need to ensure mission success.

Industry

Specialty trade contractors

Company size

5,001 - 10,000 Employees

Headquarters location

Herndon, VA, US

Year founded

1995

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