1

Data Annotation Jobs in Boston, MA (NOW HIRING)

next page

Showing results 1-20

Data Annotation information

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 Boston, MA? The most popular types of Data Annotation jobs in Boston, MA are:
What are popular job titles related to Data Annotation jobs in Boston, MA? For Data Annotation jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Boston, MA look for? The top searched job categories for Data Annotation jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Annotation jobs? Cities near Boston, MA with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Boston, MA as of June 2026, with employment types broken down into 7% Internship, 80% Full Time, and 13% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.

Atlas Data Operations Annotation Manager

Bostondynamics

Waltham, MA

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 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 an Annotation Manager to own data quality and annotation operations for Atlas - setting standards, leading the team, and managing the vendor relationships that produce the training data behind Atlas's AI systems. This role spans software quality assurance, data quality strategy, and hands-on operational leadership, and 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, quality, and speed.

Annotation Quality & Operations

  • Own data quality end-to-end - defining standards, QA methodologies, and metrics (accuracy, consistency, rework rates, guideline adherence) - and serve as the primary escalation point for edge cases and labeling ambiguities.

  • Write SOPs and technical documentation for the annotation team and vendors; forecast annotation needs across Atlas engineering stakeholders and drive continuous improvement across tooling, workflows, and guidelines.

Required Skills & Experience:

  • Bachelor's degree in a technical field, data science, or cognitive science preferred; proven experience managing teams in a data annotation, data quality, or machine learning data pipeline environment preferred.

  • Prior experience managing business/contractual relations between third-party annotation vendors/labelling service or BPO service providers strongly preferred. Familiarity with ML data pipelines preferred. Exceptional organizational and communication skills required.

The base pay range for this position is between $115,000 to $140,000 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.