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Data Labeler Remote Jobs in Boston, MA (NOW HIRING)

Senior Manager, Data Security

Boston, MA · On-site +1

$124K - $170K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Field Application Scientist

Boston, MA · On-site +1

$100K - $130K/yr

We are hiring a remote Field Application Scientist. This FAS will be responsible for providing pre ... Expertise in label-free technology Bio-Layer Interferometry or Surface Plasmon Resonance products ...

Field Application Scientist

Boston, MA · Remote

$100K - $130K/yr

We are hiring a remote Field Application Scientist. This FAS will be responsible for providing pre ... Expertise in label-free technology Bio-Layer Interferometry or Surface Plasmon Resonance products ...

Partner with Data, Engineering, and business stakeholders to ensure data governance shows up in meaningful places such as access patterns, role design, labels, masking, retention, and evidence paths.

Cambridge, MA or remote USA, Full-time - Executive Leadership Company Description Cognito ... We completed enrollment in our pivotal study, HOPE, in June 2025 and expect to release topline data ...

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Data Labeler Remote information

See Boston, MA salary details

$16

$42

$61

How much do data labeler remote jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data labeler remote in Boston, MA is $42.02, according to ZipRecruiter salary data. Most workers in this role earn between $36.83 and $47.55 per hour, depending on experience, location, and employer.

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to more specialized roles. Many professionals use it as initial experience before moving into data science or related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
What are popular job titles related to Data Labeler Remote jobs in Boston, MA? For Data Labeler Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Boston, MA look for? The top searched job categories for Data Labeler Remote jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Labeler Remote jobs? Cities near Boston, MA with the most Data Labeler Remote job openings:
Infographic showing various Data Labeler Remote job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,412 per year, or $42 per hour.
Director, Regulatory Labeling Strategy (Remote-Eligible)

Director, Regulatory Labeling Strategy (Remote-Eligible)

Vertex Pharmaceuticals

Boston, MA • On-site, Remote

$185K - $278K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical


Job description

Job Description
General Summary:
The Regulatory Labeling Director will lead the strategic development of global labeling on one or more marketed products. This role will be responsible for the development and maintenance of global product labeling across a therapeutic area. This will include target labeling profiles (TLP), company core datasheets (CCDS) and local labeling (prescribing information, patient information) for major markets. This role will be accountable for specific labeling business processes.
Key Duties and Responsibilities:
  • Ensures compliance with labeling governance requirements and associated business processes.
  • Leads label working groups (LWG) and represents labeling at product-specific global regulatory teams and senior labeling governance meetings: Label Review Group (LRG) and Executive Label Review Group (ELRG).
  • Plan and lead development and maintenance of global product labeling for one or more products. This includes the Company Core Data Sheets (CCDS) and regional labeling (Prescribing Information [PI], Patient Information [PIL], Instructions For Use [IFU]) for select markets (e.g., US, EU, GB, CA).
  • Lead labeling strategy with expert ability to advise stakeholders of regulatory labeling requirements and provide oversight of health authority interactions (responses to questions, negotiations, and inspections) regarding all aspects of labeling.
  • Conducts research related to labeling precedent, regulations, policies, and other topics as necessary to properly advise on potential labeling impacts, strategies, or outcomes.
  • May lead one or more therapeutic areas and be responsible for the strategic development and lifecycle management of labeling for that/those area(s), including TLPs.

Knowledge and Skills:
  • Experience leading labeling development and regulator negotiation activities for an initial marketing application or major indication expansion.
  • Ability to synthesize complex concepts and actions into simple and clear messaging; communicating at all levels of the organization, from specialized experts to executive management.
  • Specialized depth of knowledge regarding labeling requirements globally, including development and life-cycle management of CCDS and of global regulatory authorities, including the FDA, EMA, and may include other authorities such as Health Canada, TGA.
  • Advanced ability to develop, use, and apply knowledge of frameworks specific to regulatory labeling, and to use this information to support regulatory responsibilities that align with business objectives.
  • Advanced ability to plan, prioritize, lead, and execute individual work, teamwork, and projects related to regulatory labeling in a systematic and efficient manner.
  • Strong attention to detail with a quality-driven mindset.
  • Strong understanding of the compliance and operational requirements for labeling.
  • Demonstrates the ability to effectively adopt and leverage emerging technologies, including structured content management for labeling, AI-driven tools, and eLabeling technologies.
  • Maintains a continuous learning mindset to strengthen Regulatory Labeling decision-making and operational efficiency.
  • Proactively remains up to date on advances in technology, AI, automation, competitive intelligence and changes in the Regulatory environment.

Education and Experience:
  • Bachelor's degree
  • Typically requires 10 years of experience in regulatory affairs in the area of global labeling or related discipline, or the equivalent combination of education and experience.

*LI-EE1
Pay Range:
$185,600 - $278,400
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
1. Remote: work remotely five days per week and come into the office on occasion - you're always welcome on-site; or select
2. Hybrid: work remotely up to two days per week; or select
3. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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