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Virtual Data Labelling Jobs in Colorado (NOW HIRING)

ASCENSUS

NQ Plan Analyst

Denver, CO · Remote

The NQ Plan Analyst team (Direct and Private Label) oversees the day-to-day workflow for assigned ... Research data issues, including information on Risk Mitigation reports, to ensure data completeness.

Leidos

Network Design Engineer

Aurora, CO · On-site

$92K - $166K/yr

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... Label Switching (MPLS) Wide Area Networks (WANs). Basic Requirements * Required Clearance to be ...

Leidos

Network Design Engineer

Aurora, CO · On-site

$73K - $132K/yr

... critical data flows. * Provide technical expertise to Operations engineers and technicians ... work on Multiprotocol Label Switching (MPLS) Wide Area Networks (WANs). Basic Requirements

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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 popular job titles related to Virtual Data Labelling jobs in Colorado? For Virtual Data Labelling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Colorado look for? The top searched job categories for Virtual Data Labelling jobs in Colorado are:
What cities in Colorado are hiring for Virtual Data Labelling jobs? Cities in Colorado with the most Virtual Data Labelling job openings:
Virtual Data Labelling jobs near you
Infographic showing various Virtual Data Labelling job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Security Engineer, Senior

BOOZ, ALLEN & HAMILTON, INC.

Colorado Springs, CO

$198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 21 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants

Job description

Data Security Engineer, Senior
The Opportunity :
Architect, deploy, and configure data security solutions across various clients for DoD, IC, and civilian federal clients. Create new architectures to meet client requirements adhering to Zero T rus t best practices and IC data header guidelines. Interface with key stakeholders, including agency personnel and internal delivery and engineering teams. Assist in building custom policy to ensure positive control of data across hybrid cloud environments.
You Have:
  • 3+ years of experience designing, deploying, and configuring data security solutions
  • Experience with Data Security Posture Management ( DSPM ) tools such as Varonis or BigID
  • Experience with Data Loss Prevention ( DLP ) tools such as Forcepoint, Trellix, or Symantec
  • Experience with data labeling and tagging solutions such as Purview, Fortra, or Titus
  • Experience documenting and diagraming technical architectures
  • TS/SCI clearance
  • HS diploma or GED

Nice If You Have:
  • Experience working in federal, DoD, or IC agency environments
  • Experience managing and maintaining containerization solutions
  • Knowledge of federal information security policies , standards, procedures, directives, frameworks, federal security authorizations, assessment, and risk management processes for enterprise systems
  • Knowledge of T rus ted Data Format ( TDF ) and Attribute Based Access Control ( ABAC )
  • Knowledge of Virtru Data Security Platform ( DSP ) and Keycloak
  • Bachelor's degree in an IT, Cybersecurity, or Engineering field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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