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Virtual Data Labelling Jobs in Bolingbrook, IL (NOW HIRING)

Ecolab

Cycle Counter

Chicago, IL · On-site

$24/hr

... labeling, counting, planning, etc. as needed. * Manage virtual inventories and shipments in SAP ... data-driven insights and world-class service to advance food safety, maintain clean and safe ...

Ecolab

Cycle Counter

Chicago, IL

$24/hr

... labeling, counting, planning, etc. as needed. * Manage virtual inventories and shipments in SAP ... data-driven insights and world-class service to advance food safety, maintain clean and safe ...

Howard Brown Health

Medical Assistant

Chicago, IL

$26.41/hr

Assists licensed Medical Providers during in-person and virtual appointments, patient examinations ... Records collected patient health data in the EMR (Electronic Medical Record) system and manages EMR ...

Howard Brown Health

Medical Assistant

Chicago, IL

$26.41/hr

Assists licensed Medical Providers during in-person and virtual appointments, patient examinations ... Records collected patient health data in the EMR (Electronic Medical Record) system and manages EMR ...

Howard Brown Health

Medical Assistant

Chicago, IL · On-site

$26.41/hr

Assists licensed Medical Providers during in-person and virtual appointments, patient examinations ... Records collected patient health data in the EMR (Electronic Medical Record) system and manages EMR ...

Howard Brown Health

Medical Assistant

Chicago, IL · On-site

$26.41/hr

Assists licensed Medical Providers during in-person and virtual appointments, patient examinations ... Records collected patient health data in the EMR (Electronic Medical Record) system and manages EMR ...

Trace3

Engineer: Tier 1 (On-site)

Chicago, IL

Conduct client-facing meetings (in person/virtual) in a professional manner. * Maintain a high ... Ability to properly run power/data cables, label and dress to Trace3 standards. * Thorough ...

Howard Brown Health

Medical Assistant (Float)

Chicago, IL · On-site

$27.91/hr

Assists licensed Medical Providers during in-person and virtual appointments, patient examinations ... Records collected patient health data in the EMR (Electronic Medical Record) system and manages EMR ...

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Showing results 1-20

All JobsVirtual Data Labelling JobsVirtual Data Labelling Jobs in Bolingbrook, IL

Virtual Data Labelling information

See Bolingbrook, IL salary details

$45.5K

$163.2K

$240.8K

How much do virtual data labelling jobs pay per year?

As of Jun 23, 2026, the average yearly pay for virtual data labelling in Bolingbrook, IL is $163,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 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.

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 Bolingbrook, IL? For Virtual Data Labelling jobs in Bolingbrook, IL, the most frequently searched job titles are:
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What cities near Bolingbrook, IL are hiring for Virtual Data Labelling jobs? Cities near Bolingbrook, IL with the most Virtual Data Labelling job openings:
Virtual Data Labelling jobs near you
Senior Microsoft Fabric Data Engineer - Virtual

Senior Microsoft Fabric Data Engineer - Virtual

diversified

Chicago, IL • Remote

$107K - $147K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

How You’ll Contribute:

The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview.  This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights.

What You’ll Do:

  • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics.
  • Develop medallion or similar data architectures within OneLake.
  • Optimize performance, cost, and scalability across Fabric workloads.
  • Establish CI/CD processes and DevOps practices for Fabric deployments.
  • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks.
  • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities.
  • Design dimensional and semantic models to support PowerBI and enterprise analytics.
  • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC).
  • Ensure regulatory compliance (eg., GDPR, SOC 2).
  • Monitor and optimize system performance, reliability, and availability.  Establish logging, alerting, and observability practices.
  • Support incident response and root-cause analysis for production workloads.
  • Translate business requirements into technical architecture.
  • Collaborate with analytics, BI, data science, and application development teams.

What You’ll Bring:

Education/ Certifications:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience).

 

Required Skills/Qualifications:

  • 5+ years of experience in data engineering, data warehousing, or analytics engineering.
  • 2+ years of hands-on experience with Microsoft Fabric.
  • Experience designing lakehouse architectures at enterprise scale.
  • Proficiency in SQL, Python, Spark, etc.
  • Experience deploying and managing Microsoft Purview for governance and lineage.
  • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals).
  • Understanding of Azure/Fabric billing and utilization analysis.
  • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions).
  • Strong analytical and problem-solving skills.

 

Preferred Skills/Qualifications:

  • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate).
  • Experience with Synapse Link.
  • Experience with DataBricks
  • Experience with MDM platforms (esp. Profisee).
  • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow
  • Experience integrating streaming or near real-time data workloads.
  • Familiarity with PowerBI semantic models and enterprise BI governance.
  • Experience implementing data quality frameworks and metadata-driven pipelines.
  • Knowledge of Delta Lake and open table formats.
  • Master’s degree in a quantitative or technical discipline.

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