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Ai Labelling Jobs in Boston, MA (NOW HIRING)

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How much do ai labelling jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai labelling in Boston, MA is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $70.53 per hour, depending on experience, location, and employer.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are popular job titles related to Ai Labelling jobs in Boston, MA? For Ai Labelling jobs in Boston, MA, the most frequently searched job titles are:
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Ai Labelling jobs near you
Infographic showing various Ai Labelling job openings in Boston, MA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $122,985 per year, or $59.1 per hour.

Director, Regulatory Labeling Strategy (Remote-Eligible)

Vrtx

Boston, MA • Hybrid

$185K - $278K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

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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