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Data Annotation Engineer Jobs in Massachusetts (NOW HIRING)

Sr. Software Engineer - Data, Siri Speech

Cambridge, MA · On-site

$125K - $150K/yr

You will be part of a cross-functional team consisting of software engineers as well as data and ... data annotation that runs on a self-serve platform- Deploy and implement LLM-based chatbots to make ...

Senior AI/ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Apply ML to labeling itself Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to ...

Intern, Engineering

Marlborough, MA · On-site

$17.25 - $22.50/hr

IPG Photonics is revolutionizing the laser industry as the pioneering developer and leading ... Interest in machine learning, data annotation, or computer vision concepts * Experience with MS ...

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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 Jun 10, 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 in the Data Annotation Engineer position, and why are they important?

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 job?

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:
Atlas Data Operations Annotation Manager

Atlas Data Operations Annotation Manager

Boston Dynamics

Waltham, MA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. They are seeking a highly organized and technically-minded Annotation Manager to lead a team of Annotation Leads and QA Leads, manage relationships with third-party vendors, and ensure the quality and consistency of data annotations for Atlas's machine learning systems.
Responsibilities:
• Directly manage a team of Annotation Leads and Annotation QA Leads, providing day-to-day direction, prioritization, coaching, and performance feedback.
• Serve as the Atlas working team lead for third-party annotation vendors, managing task allocation, performance accountability, and dual-source relationships to optimize cost and quality.
• Own the end-to-end quality of annotation output by partnering with ML Leads to establish and enforce quality benchmarks, monitor throughput and error rate metrics, and serve as the primary escalation point for labeling guideline ambiguities.
• Write SOP’s and technical/process/policy documents for the annotation team to follow
• Forecast forward-looking annotation needs across all Atlas engineering stakeholders and drive continuous improvement initiatives including tooling feedback, workflow redesign, and SOP maintenance.
Qualifications:
Required:
• Proven experience managing teams in a data annotation or machine learning data pipeline environment required
• Strong familiarity with annotation concepts and tooling platforms
• Strong computer proficiency with familiarity in ML data pipelines or computer vision
• Exceptional organizational and communication skills required
Preferred:
• Bachelor's degree in a technical field, data science, or cognitive science preferred
• Prior experience managing third-party annotation vendors strongly preferred
Company:
Boston Dynamics is an engineering company that specializes in building dynamic robots and software for human simulation. It is a sub-organization of Hyundai Motor Company. Founded in 1992, the company is headquartered in Waltham, USA, with a team of 501-1000 employees. The company is currently Late Stage.