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Data Annotation Manager Jobs in Massachusetts (NOW HIRING)

Showing results 41-60

Data Annotation Manager information

See Massachusetts salary details

$33.9K

$106.1K

$187.8K

How much do data annotation manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data annotation manager in Massachusetts is $106,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $137,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Massachusetts?

The most popular types of Data Annotation jobs in Massachusetts are:

What are popular job titles related to Data Annotation Manager jobs in Massachusetts?

For Data Annotation Manager jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Annotation Manager jobs in Massachusetts look for?

The top searched job categories for Data Annotation Manager jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Annotation Manager jobs?

Cities in Massachusetts with the most Data Annotation Manager job openings:

Infographic showing various Data Annotation Manager job openings in Massachusetts as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $106,094 per year, or $51 per hour.

Language Engineer, Artificial General Intelligence - Data Services

Amazon

Boston, MA • On-site

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,091 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.
Key job responsibilities
Specifically, the Language Engineer will:
• Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
• Analyze and extract language-related insights from large amounts of data
• Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
• Use modeling tools to bootstrap or test new functionalities
• Collaborate with scientists and software engineers to evaluate performance of language models
• Handle competing requests from a range of data customers
BASIC QUALIFICATIONS
- Experience with language annotation and other forms of data markup
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience working with speech and text language data in multiple languages
- Experience working in a fast-paced, team environment
- Masters's or higher degree in a relevant field (computational linguistics or equivalent field with computational analysis)
- 2+ years experience in computational linguistics or language data processing
- Excellent communication, strong organizational skills and very detailed oriented
PREFERRED QUALIFICATIONS
- Experience in writing grammars and building FSTs
- Experience with statistical language modeling
- PhD in Computational Linguistics (or equivalent field with computational emphasis)
- Expertise in bootstrapping language data collections in a quickly changing environment
- Practical knowledge of version control and agile development
- Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
- Willingness to support several projects at one time, and to accept reprioritization as necessary
- Able to think creatively and possess strong analytical and problem solving skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 74,900.00 - 131,100.00 USD annually
USA, MA, Boston - 65,200.00 - 114,000.00 USD annually
USA, WA, BELLEVUE - 80,200.00 - 114,000.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US