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Virtual Data Labelling Jobs in Illinois (NOW HIRING)

... Virtual Infrastructure of the organization. The role involves completing scheduled data center MACs ... labeling, power connectivity and network cable connectivity • Complete hardware support work ...

Ability to read and interpret work orders, labels, and safety data sheets (SDS). * Strong attention ... Please note that QPS Employment Group may use a virtual recruiting assistant to help screen and ...

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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.

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 Illinois? The most popular types of Data Labelling jobs in Illinois are:
What are popular job titles related to Virtual Data Labelling jobs in Illinois? For Virtual Data Labelling jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Virtual Data Labelling jobs? Cities in Illinois with the most Virtual Data Labelling job openings:
Data Center Technician II

Data Center Technician II

IES Communications

Chicago, IL • On-site

Full-time

Posted 27 days ago


IES Communications rating

6.5

Company rating: 6.5 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

63rd of 78 rated construction


Job description

Job Summary:
IES Communications is a national provider of industrial products and infrastructure services, and they are seeking a Data Center Technician II to support both the Physical and Virtual Infrastructure of the organization. The role involves completing scheduled data center MACs, hardware installation, asset management, and maintaining a safe operating environment within the data center.
Responsibilities:
• Directly support and complete all scheduled data center MACs (Moves/Adds/Changes)
• Hardware installation MACs, including device labeling, power connectivity and network cable connectivity
• Complete hardware support work orders involving: hardware and cabling MACs, certification, troubleshooting and break-fix.
• Asset management, auditing and daily work log/ticket tracking.
• Provide smart-hands assistance as required for multiple customers at various sites within specified SLA response times (on-call duties may apply)
• Maintain a safe and secure operating environment within the data center and report any violations to their immediate supervisor.
• Detailed and thorough documentation and record keeping.
• Maintain site security protocols, badging requirements and data protection procedures
• Ensure all media storage devices (Hard drives, thumb drives, CD/DVD’s, etc.) are properly logged, secured and documented to ensure compliance with retention practices.
• Strong working knowledge with server and network hardware/components, copper and fiber infrastructure installation and testing, data center productivity and support tools, applications and software (Windows, Linux, SSH, RDP, Putty, etc.), and data center infrastructure management (DCIM) related tools.
• Coordinate equipment/material receiving, shipping and RMA processing support as/when required.
• Provide vendor and security escorts as needed.
• Provide general cleaning on raised floor, cabinet/rack exterior surfaces, work benches and other areas as needed on a regular basis.
• Support standard and emergency operating procedures for data center.
• Provide status reporting regarding Data Center service availability, performance, capacity utilization as required
• Daily error log reporting and physical DC inspections for general health, power, cooling, hazards, etc.
• Coordinates equipment installation and delivery schedules in accordance with set project plans.
• On-Call duties as needed.
Qualifications:
Required:
• Must be self-motivated, detail oriented, positive in approach, professional and help create, develop and implement project process improvement(s)
• Must promote the company culture and mission to all employees, vendors, clients and business partners.
• 3+ years working in data centers, operations or related technical field.
• General knowledge of server/network equipment and software support configurations.
• Intermediate understanding of AC/DC power principles, data center power distribution and data center best practices.
• Strong aptitude for independent working environment and high productivity rate.
• Must be able to act as the company liaison for interface with customer representative(s)
• Must possess proven problem solving skills, critical thinking skills and the ability to effectively read, write and give oral presentation(s)
• Must be able to work at heights, off of a ladder and in confined spaces, lift up to 50 pounds and move up to 75 pounds.
• Must be able to see and distinguish different colors, read small print and hear and recognize audible signals such as dial tones.
• Excellent communication and customer relationship skills.
• Must possess at least a High School diploma or GED equivalency
• (3) years minimum of data center experience
• Must possess at least (2) active industry certifications
• Must be highly proficient with Microsoft Office (Word, Excel)
• Must meet Company minimum driving standards
Company:
IES Communications is a provider of communications technology, systems, and services. Founded in 1998, the company is headquartered in Tempe, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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