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Remote Ai Labeling Jobs in Boston, MA (NOW HIRING)

Audio Engineer - AI Trainer

Boston, MA · On-site +1

$13 - $17/hr

Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities * Evaluate AI ... Label songs by genre, structure, instruments, vocals, and other musical characteristics. * Review ...

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

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 ...

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 ...

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 ... Drive active adoption of the latest AI-assisted engineering and security tools across the team ...

Senior Counsel

Boston, MA · On-site +1

$185K - $204K/yr

The role is designated as fully remote ; however, there is a strong preference for the incumbent to ... Develop training, playbooks, and process improvements, including use of AI to enhance legal ...

Senior Counsel

Marlborough, MA · On-site +1

$185K - $204K/yr

The role is designated as fully remote ; however, there is a strong preference for the incumbent to ... Develop training, playbooks, and process improvements, including use of AI to enhance legal ...

Remote Ai Labeling information

See Boston, MA salary details

$14

$33

$103

How much do remote ai labeling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote ai labeling in Boston, MA is $33.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $42.55 per hour, depending on experience, location, and employer.

What is remote AI labeling?

Remote AI labeling is a job where individuals annotate or tag data—such as images, videos, text, or audio—from a remote location, typically their home. This labeled data is used to train artificial intelligence and machine learning models to recognize patterns or make decisions. Tasks may include drawing bounding boxes around objects in photos, transcribing audio, or categorizing content. Remote AI labeling jobs are popular for their flexibility and are essential in industries like autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, though attention to detail is important.

What are some common challenges faced by remote AI labeling specialists, and how can they be addressed?

Remote AI labeling specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and managing tight deadlines. To address these, it's helpful to establish a structured work routine, use productivity tools to minimize distractions, and regularly review the labeling guidelines to avoid errors. Additionally, many companies provide collaborative platforms and regular feedback sessions, which can help clarify expectations and improve overall performance.

What are the key skills and qualifications needed to thrive as a remote AI labeling specialist, and why are they important?

To thrive as a Remote AI Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data annotation principles, often supported by a high school diploma or equivalent. Experience with labeling platforms, image or text annotation tools, and sometimes knowledge of data privacy standards are typically required. Being reliable, self-motivated, and able to communicate clearly helps you consistently deliver accurate work and meet deadlines. These skills ensure high-quality labeled data, which is crucial for training effective AI models.

What is the difference between Remote Ai Labeling vs Remote Data Annotation?

AspectRemote Ai LabelingRemote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI development, machine learningData processing, machine learning
Job FocusLabeling data specifically for AI modelsAnnotating various data types for machine learning

Remote Ai Labeling and Remote Data Annotation are closely related roles in the AI industry. Both involve working remotely with data, but Ai Labeling focuses specifically on labeling data to train AI models, while Data Annotation encompasses a broader range of data types and tasks. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are popular job titles related to Remote Ai Labeling jobs in Boston, MA?

For Remote Ai Labeling jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Labeling jobs in Boston, MA look for?

The top searched job categories for Remote Ai Labeling jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Ai Labeling jobs?

Cities near Boston, MA with the most Remote Ai Labeling job openings:

Infographic showing various Remote Ai Labeling job openings in Boston, MA as of June 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $68,979 per year, or $33.2 per hour.

Director, Regulatory Labeling Strategy (Remote-Eligible)

Vertex Pharmaceuticals

Boston, MA • On-site, Remote

$185K - $278K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 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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