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Online Data Labelling Jobs (NOW HIRING)

Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data ... Duration: 6+ months Additional Information Apply online by clicking on green label "I am Interested ...

Data Architect (365)

Washington, DC · Remote

$72.25 - $92.75/hr

Establish information architecture for SharePoint Online, including site structures, content types ... Understanding of Microsoft Purview capabilities, including data classification, sensitivity labels ...

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Our mission is to eliminate identity fraud and ensure online trust across industries. We are ... Investigate imperfect labels, delayed outcomes, instrumentation gaps, and changing fraud patterns ...

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Online Data Labelling information

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$46K

$165K

$243.5K

How much do online data labelling jobs pay per year?

As of Sep 12, 2026, the average yearly pay for online 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 online data labelling?

Online data labelling is the process of tagging or annotating data—such as images, text, or audio—using digital tools to make it understandable for machine learning algorithms. Data labelers review raw data and apply predefined labels to help train artificial intelligence systems, enabling them to recognize patterns and make predictions. This work is essential for improving the accuracy and performance of AI models in various applications, such as image recognition, natural language processing, and autonomous vehicles. Online data labelling jobs are often remote and require attention to detail, consistency, and sometimes domain-specific knowledge.

What are the key skills and qualifications needed to thrive as an online data labeller?

To excel as an Online Data Labeller, you need strong attention to detail, basic data handling skills, and familiarity with data annotation protocols, often requiring at least a high school diploma. Proficiency with data labelling platforms such as Labelbox, Supervisely, or Scale AI, and sometimes knowledge of spreadsheet tools, is typically necessary. Reliability, consistency, and the ability to follow detailed guidelines make individuals stand out in this role. These skills ensure high-quality, accurately labelled datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by online data labellers, and how can they be managed effectively?

Online data labelers often encounter challenges such as repetitive tasks, strict accuracy requirements, and tight deadlines. Maintaining high attention to detail is crucial, as even small errors can impact the quality of machine learning models. To manage these challenges, it's helpful to take regular breaks, use productivity tools, and communicate any ambiguities or unclear instructions with supervisors or team leads. Many organizations also offer support channels and quality assurance feedback to help labelers continuously improve their work.

What is the difference between Online Data Labelling vs Data Annotation?

AspectOnline Data LabellingData Annotation
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexibleRemote or in-office, depending on project
Industry UsageCommon in AI/ML data preparationUsed across AI, computer vision, NLP projects
Search IntentOnline Data Labelling vs Data Annotation

Online Data Labelling and Data Annotation are closely related roles in AI data preparation. While both involve labeling data for machine learning, Online Data Labelling often emphasizes quick, online tasks, whereas Data Annotation may include more detailed, specialized labeling. Both roles are essential in training AI models and share similar skills and work environments.

More about Online Data Labelling jobs

What cities are hiring for Online Data Labelling jobs?

Cities with the most Online 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 Online Data Labelling jobs?

States with the most job openings for Online Data Labelling jobs include:

What other helpful pages are available for Online Data Labelling?

Other pages related to Online Data Labelling:

Infographic showing various Online Data Labelling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Cloud Service Support Administrator/Analyst

Suffolk, VA

NexGen Data Systems Inc (NGDS)
IT Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Description

NexGen Data Systems is seeking a Cloud Service Support Administrator/Analyst. The Cloud Service Support Administrator/Analyst shall perform tasks associated with the administration of Microsoft 365 Software as a Service (SaaS) offerings, to include AZURE Virtual Desktop, Intune, Exchange Online, OneDrive, Teams, and SharePoint. Additionally, the contractor will perform administrative functions associated with Azure Information Protection/data labeling and control.


Roles & Responsibilities:

  • Perform administrative tasks associated with the management of Microsoft 365 SaaS offerings
  • Manage Azure identities and governance
  • Implement and manage storage
  • Deploy and manage Azure compute resources
  • Configure and manage virtual networking
  • Monitor and back up Azure resources
  • Configure and manage virtual networking
  • Oversee the hierarchal management of SharePoint sites hosted in Flank Speed
  • Manage tenant-wide configuration settings for Microsoft SaaS offerings
  • Provide support for Teams Live Events as requested (e.g., conferencing/telephony support)
  • Monitor Microsoft 365 Admin Center for service-related incidents, outages, and feature releases
  • Manage Azure Information Protection data labels and controls
  • Participate in various ITSM roles and activities (as required) including but not limited to; change management, incident management and problem management
  • Monitor, analyze and respond to alerts from M365 SaaS cloud operational and security tools and services
  • Perform M365 SaaS cloud service operations, analyze operational performance and trends, and support applications and systems on premise, and in cloud, inclusive of network, server, and endpoints
  • Deploy and manage virtual machines in Azure to support a large user base
  • Provide technical support to the Enterprise Flank Speed Tier 2 service desk for troubleshooting issues as required
  • Manage Windows image to include group policy and end user software
  • Oversee the hierarchal management of SharePoint sites hosted in Flank Speed
  • Manage tenant-wide configuration settings for Microsoft SaaS offerings

Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


Requirements

Desired/Required Skills:

  • Active Department of Defense Top Secret security clearance required.
  • DoD Approved 8570 / 8140 OS and Cybersecurity certifications required.
  • IAT Level II: CompTIA Security+, or CySA+, or SSCP
  • 3+ years IT experience Azure Cloud Administrator in an enterprise level cloud computing environment
  • Azure Fundamentals Certification
  • Microsoft 365 Fundamentals Certification
  • Comprehensive understanding of cloud computing and networking
  • Azure Firewall Knowledge
  • Experience with Microsoft Office suite and PowerShell
  • Experienced in the administration of Microsoft SharePoint
  • Knowledge of Purview
  • Basic experience with Power Platform
  • Experience with Microsoft Cloud Security and Data Governance Tools
  • Superior organizational skills
  • Capable of managing multiple projects
  • Great communication skills (oral and written)
  • Strong attention to detail
  • Working knowledge of the Information Technology Infrastructure Library (ITIL) Framework

About the Company:

NexGen Data Systems is an emerging technologies focused company providing expert systems and network engineering solutions to the Department of Defense. NexGen Data Systems promotes a culture of knowledge and career advancement through continued learning, keeping our team current on the latest advances in systems and networking, and enabling our team to provide the best available solutions to our clients.


Benefits:

  • Company covers 100% of premiums for the employee's medical, dental, and vision insurance and subsidizes premiums for spouse and dependents.
  • Company provides short and long term disability plans.
  • 401(k) match up to 10% of the employee's salary contributions to 401(K) plan.
  • Comprehensive training and development program.
  • 11 paid holidays and paid time off (PTO) accrual level starts at 15 days annually.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.


NOTE: US Citizens and those authorized to work in the US are encouraged to apply. In order to be qualified for this position, you must be able to obtain and maintain a United States Department of Defense (DoD) security clearance. We are unable to sponsor Visas at this time. NexGen Data Systems provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.