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Virtual Data Labelling Jobs in New York (NOW HIRING)

Dalal and Mehta

In- Office Legal Assistant

Iselin, NJ · On-site

$40K - $50K/yr

Legal Assistant (100% In-Office, This is not a virtual role) Location: Edison, NJ Job Type ... Create, label, and organize physical client files and case folders. * Assemble prepared application ...

Meta

Lead, Product Content Engineering

New York, NY

$193K/yr

They will be expected to perform data analytical work, comprehend complex recommendation systems ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Actalent

Phlebotomist (White Plains)

White Plains, NY

$20 - $23/hr

Perform blood draws, label specimens, centrifuge specimens, record maintenance data, and ... If you are interested please book a virtual meeting with me here: Job Type & Location This is a ...

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Virtual Data Labelling information

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.

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 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.

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.

What are the most commonly searched types of Data Labelling jobs in New York? The most popular types of Data Labelling jobs in New York are:
What are popular job titles related to Virtual Data Labelling jobs in New York? For Virtual Data Labelling jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Virtual Data Labelling jobs? Cities in New York 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

Kenilworth, NJ • On-site, Remote

$107.30K - $145.80K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

About Diversified:

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.

What to Expect:

At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.

As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.

IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.

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.

What We Offer:

Along with competitive compensation, you will be eligible for the following benefits:

  • Multiple medical plan options to suit your family's needs
  • Dental (including orthodontic coverage) and vision plans
  • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401k with Employer Match
  • Paid Time Off and Paid Holidays
  • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services
  • Commuter Benefits
  • And much more

To learn more about becoming part of the Diversified team, visit us at our career siteor email us at careers@onediversified.com.

Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.

If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact careers@onediversified.com so we can assist you.

Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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