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Data Annotation Manager Jobs in Massachusetts (NOW HIRING)

Infotree Global Solutions

Data Engineer-AI/ML

Boston, MA · On-site

$124.40K - $149.40K/yr

Document development for data asset management * Development of annotation project strategies ... interfaces, and guidelines * Serve as an interface for feedback and questions from annotators back ...

Zoox

Operations Lead - Perception Data Labeling

Boston, MA · On-site

$163K - $223K/yr

Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack. * Manage ...

Zoox

Operations Lead - Perception Data Labeling

Boston, MA · On-site

$163K - $223K/yr

Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack. > * Manage ...

General Motors

Senior AI/ML Engineer

Boston, MA · On-site +1

$113.50K - $155.90K/yr

... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science , and ...

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Data Annotation Manager information

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$33.9K

$106.1K

$187.8K

How much do data annotation manager jobs pay per year?

As of May 28, 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 the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

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 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 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:
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What cities in Massachusetts are hiring for Data Annotation Manager jobs? Cities in Massachusetts with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Massachusetts as of May 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $106,094 per year, or $51 per hour.
Atlas Data Operations Annotation Manager

Atlas Data Operations Annotation Manager

Boston Dynamics

Waltham, MA • On-site

$100K - $128K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. We combine the principles of dynamic control and balance with sophisticated mechanical designs, cutting-edge electronics, and next-generation software for high-performance robots equipped with perception, navigation, and intelligence.
The Atlas team is focused on advancing machine learning and manipulation capabilities. We are seeking a highly organized and technically-minded Annotation Manager to lead and develop a team of Annotation Leads and Annotation QA Leads, manage relationships with third-party annotation vendors and service providers, and ensure the quality, consistency, and throughput of data annotations that power Atlas's machine learning systems. This role reports to the Atlas Data Operations Associate Director.
Schedule/Working Hours:
  • Monday - Friday: 40 hours per week, regular hours (e.g., 9 AM to 6 PM, with flexibility across both first and second shift as required).

Responsibilities:
Team Leadership & Performance:
  • 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.

Annotation Quality & Operations:
  • 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.

Required Skills & Experience:
  • Bachelor's degree in a technical field, data science, or cognitive science preferred; proven experience managing teams in a data annotation or machine learning data pipeline environment required, with strong familiarity with annotation concepts and tooling platforms.
  • Prior experience managing third-party annotation vendors strongly preferred; strong computer proficiency with familiarity in ML data pipelines or computer vision, and exceptional organizational and communication skills required.

The base pay range for this position is between $100,000 to $128,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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