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Virtual Data Labelling Jobs in Massachusetts (NOW HIRING)

Tableau Data Architect

Waltham, MA · Remote

$68.75 - $88.50/hr

... labels), metric governance via Tableau Pulse, and enforcement of naming conventions, access ... Design and manage Virtual Connections and published data sources to centralize data access and ...

... labelling is accurate. Eurofins believes it is a global leader in food, environmental ... Analyze and summarize data upon training and contribute to troubleshooting and continuous ...

Files pertinent data in appropriate patient's record. Prepares charts for Medical Records upon ... Responsible for information shared at all staff meetings (by attending, reading minutes or virtual ...

Files pertinent data in appropriate patient's record. Prepares charts for Medical Records upon ... Responsible for information shared at all staff meetings (by attending, reading minutes or virtual ...

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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.

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 Massachusetts? The most popular types of Data Labelling jobs in Massachusetts are:
What are popular job titles related to Virtual Data Labelling jobs in Massachusetts? For Virtual Data Labelling jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Virtual Data Labelling jobs in Massachusetts look for? The top searched job categories for Virtual Data Labelling jobs in Massachusetts are:
What cities in Massachusetts are hiring for Virtual Data Labelling jobs? Cities in Massachusetts with the most Virtual Data Labelling job openings:

Associate Director, Global Labeling Lead (remote)

BioNTech SE

Cambridge, MA • On-site, Remote

$146K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Cambridge, US; Gaithersburg, US; New Jersey, US   |   full time   |   Job ID: 10671 

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, US 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.