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Virtual Data Labelling Jobs in Texas (NOW HIRING)

VDart

Lead Data Center Technician

Dallas, TX · On-site

They operate in tight spaces, run & label cabling, and improve physical security around their ... They also create concise virtual information reports to keep company management informed of status ...

Diverse Lynx

Lead Data Center Technician

Dallas, TX

They operate in tight spaces, run & label cabling, and improve physical security around their ... They also create concise virtual information reports to keep company management informed of status ...

Black Box

Travel Data Center Technician II

Plano, TX · On-site

Advanced knowledge of critical infrastructure components such as racks, labeling, commercial UPS ... Principles of networking (layers 2 and 3); Virtual private networks, IPsec and/or SSL; Network ...

Venturi Supply

Stock Lister - Data Entry

Dallas, TX · On-site

$16.75 - $22.50/hr

The stock lister will produce fabrication sheets, packing lists, and labels for the shop. The ... Two medical plans, including HSA-qualified, with virtual care. * Dental and vision coverage ...

Venturi Supply

Stock Lister - Data Entry

Dallas, TX · On-site

$17 - $22.50/hr

The stock lister will produce fabrication sheets, packing lists, and labels for the shop. The ... Two medical plans, including HSA-qualified, with virtual care. * Dental and vision coverage ...

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All JobsVirtual Data Labelling JobsVirtual Data Labelling Jobs in Texas

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 the most commonly searched types of Data Labelling jobs in Texas? The most popular types of Data Labelling jobs in Texas are:
What are popular job titles related to Virtual Data Labelling jobs in Texas? For Virtual Data Labelling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Texas look for? The top searched job categories for Virtual Data Labelling jobs in Texas are:
What cities in Texas are hiring for Virtual Data Labelling jobs? Cities in Texas with the most Virtual Data Labelling job openings:
Virtual Data Labelling jobs near you

Lead Data Center Technician

VDart

Dallas, TX • On-site

Other

Posted 7 days ago

Job description

Job Title:Lead Data Center Technician
Location :Dallas TX 75202
Contract

  • Specific job responsibilities of a data center technician differ according to where they work. However, there are several core tasks associated with the role. Based on our analysis of multiple job listings, these include:
  • Perform Preventative Maintenance
  • On a daily basis, data center technician's complete preventative maintenance of equipment and data network devices. They operate in tight spaces, run & label cabling, and improve physical security around their assigned data center. Data center technicians engage in building projects and check utilities. To make sure the center does not overheat, they carefully examine power sources and heating and cooling controls. The Data Center Technicians must have a clear understanding how the Facilities machinery is used to support the data center infrastructure such as CRAC, UPS, PDU, Switchgear, ATS and power Strips
  • Server Management and Repair
  • Data center technicians troubleshoot and repair servers that have hardware and network issues. They run hardware diagnostics and replace failing parts. They are responsible for day-to-day performance and capacity management of servers. If something goes wrong, data center technicians are called on to quickly fix it in order to keep business data flowing.
  • Monitor System Processes
  • Monitoring and maintaining operation of all network processes is the primary duty of data technicians. They evaluate machine temperature levels for optimal performance. Data technicians are expected to maintain accurate work records and event logs. They also create concise virtual information reports to keep company management informed of status updates.
  • Cross-Collaborate to Protect Data
  • Data technicians install and arrange new equipment for data centers. This may include physically checks of internal system components (CPU), memory hard drives, fiber cables, copper, and more. Once devices are racked, data technicians do the cabling, labeling and update ACDC forms. They also keep inventories of cabling and items that are needed to support the Data Centers.
  • Technical Support and Education
  • Data center technicians provide live support to clients and coworkers and are expected to troubleshoot problems as they occur. They act as a main point person in the field, putting out fires and working on projects simultaneously. Educating other data center staff on how to properly troubleshoot hardware is also a key part of their role.
Data Center Technician Skills and Qualifications
  • Successful data center technicians are self-driven and work effectively with little supervision. Employers typically seek out candidates with an associate or bachelor's degree in a technical field. They also prefer candidates who possess the following abilities:
  • Hardware repair - data center technicians are hired to complete basic repair of damaged or faulty network equipment and devices
  • IT computer networking - technicians are in charge of installing servers, switches, routers, monitors, and computer networking
  • Troubleshooting skills - performing tests to identify cabling and basic hardware issues, and replacing the bad cabling or peripherals.
  • Physical Requirements - data technicians stay on their feet, and regularly crawl, crouch, kneel, lift, and move up to 40lbs over short distances
  • Inventory management - data technicians are required to maintain accurate inventory of tools, equipment, and network devices
  • Communication skills - being able to explain complicated technical process in a simple to way to non-technical staff is a requirement for successful data technicians
  • Technical writing skills - data technicians often develop standard operating procedures and manuals for the Network, Storage and servers installed at the Data Centers.

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