1

Virtual Data Labelling Jobs in New York (NOW HIRING)

In- Office Legal Assistant

Iselin, NJ ยท 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 ...

... draws and label specimens accurately. * Centrifuge specimens and record maintenance data ... Book a virtual interview NOW: -ac0b-4839-90d3-fc9a1bb77750 Job Type & Location This is a Permanent ...

New

Phlebotomist I (Float)

Suffern, NY

$18.75 - $22.25/hr

Book a virtual interview NOW: -ac0b-4839-90d3-fc9a1bb77750 Job Title: Phlebotomist I (Float) This ... Label, centrifuge, split, and freeze specimens as required by the specific test order and ...

Cloud & Security Engineer

Manhattan, NY ยท Remote

$61 - $81.75/hr

Support Microsoft Purview capabilities including data loss prevention, sensitivity labels ... Support Azure cloud infrastructure including subscriptions, resource groups, virtual networks ...

We don't just build apps; we build, and operate modern, AI-powered, 24/7 virtual clinics for the ... Experience building reusable frameworks, white-label solutions, or multi-tenant architectures where ...

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 ...

next page

Showing results 1-20

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.

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 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 New York? The most popular types of Data Labelling jobs in New York are:
What cities in New York are hiring for Virtual Data Labelling jobs? Cities in New York with the most Virtual Data Labelling job openings:

Associate Director, Global Labeling Lead (remote)

BioNTech SE

Berkeley Heights, NJ โ€ข On-site, Remote

$146K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Cambridge, US; Gaithersburg, US; New Jersey, USย  ย |ย  ย full timeย  ย |ย  ย Job ID:ย 10671ย 

About the role:

You will be a member of the Global Labeling, Global Regulatory Affairs team and will lead all Labeling activities required for the development and maintenance of the Company Core Data Sheet, US prescribing and patient information and EU CP prescribing and patient information for BioNTech commercial products. In your role, you will act globally and work cross-functionally. At BioNTech, you will contribute to transforming the future of medicine while shaping a bestinclass Global Labeling function. You will work in an agile, sciencedriven environment with:

  • High strategic visibility in a global role at the interface of science, regulation and patient impact
  • Close collaboration with senior leaders and crossfunctional experts across the organization
  • The opportunity to build and refine global labeling standards, processes and systems in a rapidly evolving portfolio
  • A culture that values ownership, innovation, integrity and continuous learning

If you are passionate about advancing innovative therapies to patients worldwide and want to shape global labeling at scale, we look forward to receiving your application.

Your contribution:

  • Define and execute Labeling strategy for global life cycle management of medicinal products in BioNTech's responsibility for Primary Reference Labeling (i.e., the Company Core Data Sheet (CCDS), US Prescribing Information (USPI) and EU CP Summary of Product Characteristics [SmPC]). The strategy comprises management of local market label dependencies and country label differences when the local markets identify a need to review Primary Reference at the Labeling Team level
  • Build and lead cross-functional Labeling Teams
  • Responsible for timely preparation of Primary Reference labeling updates following update of the CCDS or on request of competent Health Authorities
  • Ensuring timely communication of updated CCDS content to local country offices for MAs in BioNTech's responsibility
  • Lead development and maintenance of regulatory processes and systems for Global Labeling
  • Identify critical Regulatory Labeling issues and proactively implement activities for their resolution including leading initiatives for Labeling within GRA or across functions at BioNTech
  • Act as the empowered delegate for the Head of Global Labeling as necessary

A good match:

  • Degree in pharmacy, chemistry, biology, biochemistry, medicine or equivalent
  • Advanced degree preferred, but not required
  • 9-16 years of professional working experience in Regulatory Affairs globally during development, registration and/or post-marketing for Biologics, Vaccines and/or Small Molecules, including direct experience in strategic Labeling content development and management and interacting with Health Authorities
  • Profound experience in leading the preparation and revision of product prescribing (and corresponding patient) information during registration and/or post-marketing, for CCDSs, EU CP SmPCs and USPIs
  • In depth knowledge of EMA and FDA regulatory requirements for product prescribing and patient information
  • Ability to work independently on very complex projects with minimal oversight
  • Excellent verbal and written communication skills in English

Your benefits and remuneration:

Expected Pay Range: $146,300,/year to 234,100/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.

BioNTech US is committed to employee wellbeing and offers best-in-class benefits & HR programs to support an inclusive & diverse workforce. Salaried/Position-Targeted Hourly Employees working 30+ hours per week are eligible for our comprehensive benefits package. Benefits include but are not limited to:

  • Medical, Dental and Vision Insurance
  • Life, AD&D, Critical Illness Insurance
  • Pre-tax HSA & FSA, DCRA Spending Accounts
  • Employee Assistance & Concierge Program (EAP) available 24/7
  • Parental and Childbirth Leave & Family Planning Assistance
  • Sitterstream: Virtual Tutoring & Childcare Membership
  • Paid Time Off: Vacation, Sick, Bereavement, Holidays (including Floating) & Year-End U.S. Shutdown.
  • 401(K) Plan with Company Match
  • Tuition Reimbursement & Student Loan Assistance Programs
  • Wellbeing Incentive Platforms & Incentives
  • Professional Development Programs
  • Commuting Allowance and subsidized parking
  • Discounted Home, Auto & Pet Insurance

...and more! More details to be shared.

Apply now - We look forward to your application!

Apply for our Cambridge, US; Gaithersburg, US; New Jersey, USย location and simply send us your documents using our online form.

By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.