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Data Annotation Jobs in Massachusetts (NOW HIRING)

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 ...

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Data Annotation information

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$9

$27

$58

How much do data annotation jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data annotation in Massachusetts is $27.07, according to ZipRecruiter salary data. Most workers in this role earn between $18.31 and $32.23 per hour, depending on experience, location, and employer.

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What are the most commonly searched types of Data Annotation jobs in Massachusetts? The most popular types of Data Annotation jobs in Massachusetts are:
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What cities in Massachusetts are hiring for Data Annotation jobs? Cities in Massachusetts with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Massachusetts as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution, with an average salary of $56,308 per year, or $27.1 per hour.
Atlas Data Operations Annotation Manager

Atlas Data Operations Annotation Manager

Boston Dynamics

Waltham, MA • On-site

Full-time

Posted 11 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.

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