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Data Annotation Jobs in Boston, MA (NOW HIRING)

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of professional experience as a Software ...

Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of professional experience as a Software ...

Data Annotation * Fact Checking * Independent Research * Business Communication * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of professional experience as a Software ...

Support data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist ...

Support data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist ...

Support data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist ...

Support data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist ...

Support data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist ...

Support data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist ...

Showing results 41-60

Data Annotation information

What is a data annotation?

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 does a data annotation do?

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 are the key skills and qualifications needed to thrive in data annotation?

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.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

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 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Technical Program Manager - AI Resources

Boston Dynamics

Waltham, MA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

As a Technical Program Manager within Boston Dynamics PMO, you will be an integral part of the core program leadership, accountable for the operational efficiency of the resources that power our AI teams. You will own the sequencing and prioritization of work across our training clusters, data processing pipelines, and data operations teams, ensuring our engineers can move as fast as possible as we scale our AI robotics strategy.
The ideal candidate will have considerable influence over how AI infrastructure resources are allocated and will regularly engage with AI engineering leads and stakeholders to ensure successful outcomes. We're seeking a self-motivated individual capable of balancing strategic vision with meticulous attention to detail, essential for fostering consensus amidst competing demands for limited compute. A crucial skill you'll possess is the ability to discern dependencies across engineering, data, and infrastructure teams, adeptly navigating complex tradeoffs, and integrating them into a cohesive resourcing plan.
Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. For years, our awe-inspiring viral videos on YouTube have shown the world what remarkably capable robots can do. Now we are quickly becoming a recognized leader in automation solutions for industrial applications and warehouse logistics.
How you will make an impact:
  • Organize, sequence, and prioritize work across our training clusters, data processing pipelines, data operations teams, and other engineering groups so the organization operates at maximum efficiency.
  • Allocate our substantial GPU resources across many concurrent model-training projects; work directly with teams to queue critical work, prioritize competing requests, and ensure teams maximize their output.
  • Oversee critical data processing pipelines that convert real-world robot experience into the data used to train and control AI models.
  • Manage relationships with external vendors who support data annotation and QA at scale.
  • Drive consistency, improvement, and efficiency by proactively scheduling resource utilization ahead of critical business events and deadlines.
  • Collaborate with AI engineering leadership to define resourcing objectives and priorities, and develop plans and roadmaps that keep infrastructure aligned with the broader AI robotics strategy.
  • Identify potential risks to compute or data availability that may impact program delivery; develop mitigation strategies and contingency plans to minimize disruption.
  • Engage with key stakeholders, including AI engineers, data operations leads, and executives, to provide updates on resource utilization, gather feedback, and address bottlenecks.
  • Drive process improvements and best practices for resource allocation and utilization tracking; conduct post-program reviews to identify areas for improvement.
  • Drive other program deliverables across AI infrastructure and the teams dedicated to building BD's internal AI tools and capabilities.
  • Manage data procurement and contract negotiations. Investigate and source commercial training data sets needed for future modeling.

What You bring:
  • BS or higher in Engineering or a Technical Related Field (Computer Science, Electrical Engineering, Mechanical Engineering, Physics, etc.) or equivalent work experience.
  • Minimum 2 years of experience in a program management role, managing multiple programs and schedules, ideally involving compute or infrastructure resourcing.
  • Passion for problem solving and a drive to ask questions and understand the big picture while still being attentive to technical details.
  • Strong communication skills and the ability to distill complex technical information into concise, easily understood formats: presentations, white papers, and status updates.
  • Proven capacity to leverage an array of project management tools, methodologies, and techniques throughout the AI/ML development lifecycle, including Google Suite, JIRA/Atlassian Products, and similar systems.
  • Ability to see, understand, and articulate team priorities in support of overall company and AI strategy goals.
  • Experience coordinating across engineering and data teams to manage shared, constrained resources (e.g., GPU/compute clusters, data pipelines).
  • Proven experience building sustainable processes within cross-functional groups.
  • Excellent leadership and interpersonal skills; ability to effectively collaborate with diverse teams and stakeholders, both technical and non-technical.

Nice to have:
  • Direct experience managing GPU or training cluster resource allocation.
  • Familiarity with data annotation/QA vendor management for ML pipelines.
  • Broad technical background and understanding of AI/ML model training workflows, ideally in a robotics context.

The base pay range for this position is between $130,000 to $150,000 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.