ZipRecruiter

Log In

1

Virtual Data Labelling Jobs in Colorado (NOW HIRING)

Jacobs

Network Engineer

Denver, CO · On-site

... critical data flows. • Provide technical expertise to Operations engineers and technicians ... Label Switching (MPLS) Wide Area Networks (WANs). Qualifications : Required : • Required ...

mSupply

Counter Sales

Broomfield, CO

$21 - $26/hr

Sorts, stocks, and labels products accurately per established procedures. * Inspects returned and ... Maintains proficiency in company systems for tasks such as data entry, messaging, documentation ...

New

mSupply

Counter Sales

Colorado Springs, CO

$21 - $25/hr

Sorts, stocks, and labels products accurately per established procedures. * Inspects returned and ... Maintains proficiency in company systems for tasks such as data entry, messaging, documentation ...

mSupply

Counter Sales

Denver, CO · On-site

$21 - $25/hr

Sorts, stocks, and labels products accurately per established procedures. * Inspects returned and ... Maintains proficiency in company systems for tasks such as data entry, messaging, documentation ...

Leidos

Network Design Engineer

Aurora, CO

$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 ...

UCHealth

Inpatient Phlebotomist Associate

Longmont, CO · On-site

$18.54 - $24.10/hr

Labels, processes and delivers specimens for testing. * Maintains supplies and equipment ... Performs clerical tasks as necessary or assigned, including answering calls and entering data.

Marcone

Counter Sales

Denver, CO · On-site

$21 - $25/hr

Sorts, stocks, and labels products accurately per established procedures. * Inspects returned and ... Maintains proficiency in company systems for tasks such as data entry, messaging, documentation ...

Marcone

Counter Sales

Colorado Springs, CO · On-site

$21 - $25/hr

Sorts, stocks, and labels products accurately per established procedures. * Inspects returned and ... Maintains proficiency in company systems for tasks such as data entry, messaging, documentation ...

next page

Showing results 1-20

All JobsVirtual Data Labelling JobsVirtual Data Labelling Jobs in Colorado

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.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Many roles are freelance or part-time, with some positions offering bonuses for accuracy or speed.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning, offering opportunities to develop skills in data management and understanding AI workflows. It often requires attention to detail and familiarity with tools like annotation software, with flexible schedules and remote work options available. Career growth can lead to roles in data analysis, quality assurance, or AI development.

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 can I make $2000 a week working from home?

Virtual data labeling jobs can offer flexible income, but earning $2000 weekly typically requires completing a high volume of tasks or working multiple projects simultaneously. Success depends on experience, efficiency, and access to platforms that pay well, such as those offering premium or specialized labeling tasks.

How to make $1000 a week remote?

Virtual Data Labelling jobs can help you earn income remotely by labeling datasets for AI and machine learning projects. To make $1000 a week, you typically need to work consistently, complete high-volume labeling tasks efficiently, and possibly specialize in areas like image or audio annotation. Building a strong profile, gaining experience, and using platforms that pay well can increase your earning potential.

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

DNOC Tier II Technician - Incident Management

NewGen

Aurora, CO • On-site

$23.75 - $30.75/hr

Full-time

Posted 21 days ago

Job description

NewGen Technologies has an opening for a Government Network Operations Center (DNOC) Tier II Incident Management Technician to support the customer's computer data communications systems, providing network event management and incident troubleshooting. Technicians provide additional support by ensuring network devices meet baseline configurations, software, and network performance standards. Technicians will make extensive use of Microfocus tools, ServiceNow, and knowledge of the various levels of the Open Systems Interconnection (OSI) model to complete daily network Operations and Maintenance (O&M) tasks.
Responsibilities
  • Support the installation and maintenance of the client Local Area Network (LAN)/Wide Area Network (WAN) devices
  • Respond to, update, and resolve incident tickets within ServiceNow
  • Administer networks including hardware, systems software, applications software, and all hardware configurations
  • Coordinate network operations, maintenance, repairs, or upgrades
  • Perform configuration management functions such as validating topology drawings and ensure that asset management records are accurate
  • Leverage knowledge of OSI layers 1, 2, and 3 to troubleshoot various network faults and performance issues
  • Configure and troubleshoot layer two switching (Virtual Local Area Networks (VLANs))
  • Modify and troubleshoot layer three routing across the enterprise network
  • Conduct extensive troubleshooting of Multiprotocol Label Switch (MPLS) across the WAN
  • Participate in evaluation of new network technologies and provide recommendations to the network architecture team regarding the integration of these technologies into the existing network
  • Ensure adequacy of plans for hardware and communications. Develop and implement methodologies for analysis, testing, and support of LAN and WAN networks.
  • Leverage various network tools such as Microfocus and Riverbed to quickly identify and isolate customer impacting events on the network
  • Communicate and troubleshoot with vendors and other service providers to efficiently resolve incidents
  • Diagnose hardware and software problems and coordinate the replacement of defective components
Requirements
  • TS/SCI CI Poly Clearance
  • 10 years of experience that can be a combination of work history and education. This equates to a Doctorate and 3 years, master's and 4 years, bachelor's and 6 years, associates and 8 years or HS diploma and 10 years.
  • Compliance with Department of Defense (DoD) 8140 Information Assurance Technical (IAT) Level 2

About Us
For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ
Beth Morris
NewGen Technologies
Lead Senior Recruiter
bmorris @newgentechnologies.com
www.newgentechnologies.com

Apply