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Virtual Data Labelling Jobs in Miami, FL (NOW HIRING)

Boeing

Expert Network Designer

Miami, FL

Plan, design, and deploy Multi-Protocol Label Switching (MPLS) networks and designing systems that ... Apply relevant encryption standards for securing data traffic across wide area networks * Work with ...

Boeing

Expert Network Designer

Miami, FL · On-site

Plan, design, and deploy Multi-Protocol Label Switching (MPLS) networks and designing systems that ... Apply relevant encryption standards for securing data traffic across wide area networks * Work with ...

All JobsVirtual Data Labelling JobsVirtual Data Labelling Jobs in Miami, FL

Virtual Data Labelling information

See Miami, FL salary details

$44K

$157.8K

$232.9K

How much do virtual data labelling jobs pay per year?

As of Jun 27, 2026, the average yearly pay for virtual data labelling in Miami, FL is $157,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $162,600.00 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 the most commonly searched types of Data Labelling jobs in Miami, FL? The most popular types of Data Labelling jobs in Miami, FL are:
What are popular job titles related to Virtual Data Labelling jobs in Miami, FL? For Virtual Data Labelling jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Miami, FL look for? The top searched job categories for Virtual Data Labelling jobs in Miami, FL are:
What cities near Miami, FL are hiring for Virtual Data Labelling jobs? Cities near Miami, FL with the most Virtual Data Labelling job openings:
Virtual Data Labelling jobs near you
Infographic showing various Virtual Data Labelling job openings in Miami, FL as of June 2026, with employment types broken down into 26% As Needed, 43% Full Time, 10% Part Time, 5% Temporary, 2% Contract, and 14% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,831 per year, or $75.9 per hour.

Azure IaaS & M365 Architect

MDA Edge

Fort Lauderdale, FL • On-site

$60.50 - $78.75/hr

Other

Posted 8 days ago

Job description

Azure IaaS & Microsoft 365 Architect

We are seeking a highly skilled and hands-on Azure IaaS & Microsoft 365 Architect to lead and manage enterprise-level cloud solutions for a large-scale IT environment. This role requires deep expertise in Azure infrastructure services, Microsoft 365 administration, and cloud security compliance, with a firm commitment to working 100% on-site at our Fort Lauderdale, FL location.

Required Qualifications:

  • Must be available to work 100% on-site in Fort Lauderdale, FL.
  • 5+ years of experience with Microsoft Azure IaaS and Microsoft 365 environments.
  • Strong administration skills with Exchange Online, OneDrive, Microsoft Teams, and Azure Active Directory (AD).
  • Hands-on experience with Teams lifecycle management, collaboration tools, and integrations.
  • Proficient in PowerShell scripting for automation of M365 and SharePoint tasks.
  • Strong understanding of Cloud Security Posture Management (CSPM) and tools such as Microsoft Purview for DLP, sensitivity labels, and auditing.
  • Proficient with Linux distributions and Windows Server environments (2016–2025).

Preferred Qualifications:

  • Experience managing hybrid Active Directory and Exchange environments.
  • Experience in VMware to Azure migrations, including VCF and VEEAM VRO.
  • Knowledge of Azure Solutions Architecture.
  • Certifications such as:
    • Microsoft 365 Certified: Enterprise Administrator Expert
    • Agile Project Management or ITIL

Key Responsibilities:

  • Serve as the primary architect and subject matter expert (SME) for Microsoft Azure IaaS services including networking, virtual machines, firewalls, app services, and cloud security.
  • Lead design, implementation, and governance of Microsoft 365 (OneDrive, Teams, SharePoint, Exchange Online).
  • Administer M365 tenant-level settings, ensuring compliance with company-wide security and governance policies.
  • Troubleshoot and monitor cloud infrastructure performance, availability, and reliability issues.
  • Manage Teams lifecycle, including Entra ID, MFA, SAML integrations, and identity protection protocols.
  • Provide documentation, user training, and technical guidance across Azure and M365 environments.
  • Collaborate with cybersecurity teams to implement compliance protocols, including data retention, DLP, and access control.

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