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Virtual Data Labelling Jobs (NOW HIRING)

Lancesoft

Data Center Technician

Phoenix, AZ · On-site

$58.90 - $62.17/hr

Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling ... Network troubleshooting of Layer-1, Layer-2, Layer-3. * Virtual Machine set up and environment ...

TEKsystems

Data Center Technician

Phoenix, AZ

$28 - $35/hr

Remove network cables as part of a datacenter decommission Run/Label/Stage Power & Networking ... What server configuration experience do you have? (Physical & virtual) What are the basic ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

We run these virtual- and private-label marketplaces in one of the nation's largest media networks ... You will be required to develop a deep understanding of the related data sources and leverage them ...

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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 Jul 13, 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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Center Technician

Data Center Technician

Lancesoft

Phoenix, AZ • On-site

$58.90 - $62.17/hr

Temporary

Posted 27 days ago

Job description


Job Description:
  • Data Center Technician 3 - we believe in the power of people, and we've built our business around the value of our team members.
  • We deliver world-class technology infrastructure solutions spanning public/hybrid cloud and on-premises environments.
  • With unique engineering validation and global deployment capabilities built to support data centers worldwide, helps customers streamline infrastructure for cost-effective digital transformation.
  • At, our team members are rewarded for their contributions, and recognized for the determination, ingenuity, and precision with which they execute.
  • If you want to help power the future of business and technology infrastructure, we have an opening for you.
  • About the Role Our Team is currently seeking a Data Center Technician to support servers at our customer's data centers.
  • The ideal candidate balances strong technical skills (Hardware, IT, and Cabling Management) is highly analytical with superior attention-to-detail, self-motivated, and a positive, humble results driven attitude.
  • Technicians are also expected to provide feedback, create documentation on both technical and non-technical processes, and contribute to the knowledge library that can be leveraged by others, for example: KB Articles, SOP, lessons learned, etc. Additionally, the technician will be both internal and external facing, with the ability to lead and drive initiatives to conclusion.

Responsibilities:
  • Prepares, stages, sets up, and performs data center hardware startups and shutdowns (e.G., racks, hard drives, switches) according to specific instructions provided via checklists, guides, standard protocols, and emails;assists and provides guidance to other technicians to complete challenging or complex tasks.
  • Performs diagnostics and troubleshooting following standard procedures, quickly identifies the root-cause(s) of the issue(s), and replaces faulty components with minimal customer and business disruption.
  • Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs), Decommissions hardware for simple changes and refreshes (e.G., memory upgrades, OS rebuilds) following standard procedures with minimal guidance.
  • Follows procedures to communicate, report, and escalate incidents to appropriate Management.
  • Participates in daily safety briefings, completes required safety training, complies with safety procedures (e.G., equipment use, lifting, electrical hazards, ladder/rolling stair use).
  • Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others work.
  • Proactively shares relevant information to enable efficient workflow and mitigate the impact that changes to their area of work will have on others.
  • Completes assigned tickets efficiently and in alignment with expectations for Key Performance Indicators (KPIs) per task type, while meeting or exceeding established Service Level Agreements (SLAs), with minimal guidance from others
  • Has pride and a sense of accountability for the service quality, completeness, and resulting user experience;displays accountability and ownership of the data center facilities.
  • Learns the client's business and maintains a strong client focus to understand the impact of their work when completing tickets and assigned tasks.

Requirements:
  • Exceptional server hardware knowledge with deep understanding of all component & system type failures
  • Ability to assist in conducting failure analysis on field issues.
  • Ability to assist in tracking server fleet health to investigate emerging failure trends (Problem Management) and validate that is maintaining customer SLA.
  • Solid experience with IPMI utilization in diagnostics.
  • Administer software tools (e.G.: diagnostics, tests, FW updates).
  • Experience in real-time issue resolution during new deployments.
  • Experienced with Windows Server OS & WinPE OS administration.
  • Experience with Linux PXE services a plus.
  • Basic Linux and Windows scripting experience.
  • Network troubleshooting of Layer-1, Layer-2, Layer-3.
  • Virtual Machine set up and environment configurations.
  • Ability to work autonomously and within a local or geographically dispersed team environment.

Minimum Qualifications:
  • 5-7 years of experience as a data center technician.
  • Associate degree in computer science, computer engineering, Information technology or equivalent experience preferred.
  • CompTIA A+ or equivalent experience.
  • CompTIA Server+ or equivalent experience.
  • CCENT or equivalent experience.
  • Windows OS experience.
  • CCNA certification preferred.
  • MCP/MSCE certification preferred.
  • Scripting experience preferred PowerShell, Python, Bash.
  • The ability to lift up to 35 pounds when necessary.
  • The ability to safely climb ladders when necessary.
  • The ability to wear personal protective gear correctly when necessary.
  • The ability to stand and walk throughout the facility for extended periods without loss or reduction of productivity.
  • The ability to (i) use their hands to handle, control, or feel objects, tools or controls, (ii) make quick, precise adjustments to machine controls, (iii) bend or twist their body and (iv) repeat movements for extended periods without loss or reduction of productivity.

Meet Your Recruiter
Riyanka Bhakta
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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