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Data Annotation Engineer Jobs in Massachusetts (NOW HIRING)

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... Contribute to software architecture, code reviews, and engineering best practices to ensure ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... Contribute to software architecture, code reviews, and engineering best practices to ensure ...

Motional

Senior Software Engineer, ML Evaluation

Boston, MA · On-site

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI ... Work with annotation specialists to build high-quality evaluation datasets. * Provide statistical ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... Contribute to software architecture, code reviews, and engineering best practices to ensure ...

Motional

Senior Software Engineer, ML Evaluation

Boston, MA · On-site +1

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI ... Work with annotation specialists to build high-quality evaluation datasets. * Provide statistical ...

Rhythm Pharmaceuticals

Statistical Programmer

Boston, MA · On-site

... annotation, edit checks, SDTM specifications, integrated data review, and submission strategy to ... Identify programming risks, drive issue resolution, and recommend process improvements that enhance ...

Rhythm Pharmaceuticals

Statistical Programmer

Boston, MA · On-site

$110K - $165K/yr

... annotation, edit checks, SDTM specifications, integrated data review, and submission strategy to ... Identify programming risks, drive issue resolution, and recommend process improvements that enhance ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Massachusetts

Data Annotation Engineer information

See Massachusetts salary details

$56.2K

$161K

$215.1K

How much do data annotation engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data annotation engineer in Massachusetts is $161,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $214,100.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Massachusetts? For Data Annotation Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Massachusetts look for? The top searched job categories for Data Annotation Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Annotation Engineer jobs? Cities in Massachusetts with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $161,046 per year, or $77.4 per hour.

Sr Manager, Annotation Ops Integration, GO-AI

Amazon

North Reading, MA • On-site

Full-time

Posted 27 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,079 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

GO-AI is a technology enablement organization that accelerates the development and enhances the performance of AI-based robotic and automation solutions for Amazon Robotics (AR) and key Worldwide Operations programs. We combine human expertise with machine learning to produce high-quality training data, validate model outputs, and continuously improve AI system performance across many annotation programs and a large global workforce.
This Senior Manager, Technical Product Management will lead central operations functions within GO-AI, including quality assurance, labor planning and capacity management, and people development initiatives (upskilling, learning programs, career progression). You will own the strategy for GO-AI operations capabilities and evolution, translating demand signals into production-ready capacity plans and converting program-specific operational patterns into scalable, repeatable processes

You will drive operational efficiency initiatives, evaluate and adopt tools to improve workforce planning and utilization, and lead AI-enabled process improvement across the organization.
As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the operational foundation, including workforce readiness, quality standards, and capacity planning, adapts in step with that transformation.
Key job responsibilities
- Define and execute the strategy for GO-AI's central operations capabilities, ensuring quality, capacity, and people development functions operate as a unified, scalable system
- Deliver annual operational efficiency targets through kaizen, process automation, and workforce utilization improvements
- Translate variable customer demand into reliable capacity plans that balance cost, quality, and delivery speed
- Convert program-specific operational patterns into standardized service offerings that scale across the portfolio
- Own the associate lifecycle from onboarding through upskilling, ensuring workforce readiness keeps pace with new program launches and evolving AI model requirements
- Lead tool strategy for workforce planning and capacity management, driving adoption of platforms that replace manual processes
- Represent operations in cross-functional forums with engineering, science, and product leadership
- Lead and develop a geographically distributed team across the United States, India, and Costa Rica, ensuring alignment and operational consistency across time zones.

What Amazon employees say

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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

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