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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 cities near Holden, MA are hiring for Data Annotation jobs?

Cities near Holden, MA with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Holden, MA as of August 2026, with employment types broken down into 62% Full Time, 23% Part Time, and 15% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Technical Program Manager, Atlas Data Operations

Waltham, MA • On-site

Boston Dynamics, Inc.
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Boston Dynamics, Inc.external

$100 - $125/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 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 SOPs 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.
  • Exceptional organizational and communication skills required.

Base pay range: $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.

Benefits

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.

We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.

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