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Data Annotation Jobs in Sterling, MA (NOW HIRING)

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...

Abbott Laboratories

Staff AI/ML Engineer

Westford, MA · On-site

$99.30 - $198.70/hr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment.* Collaborate with clinical and V&V ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment. * Collaborate with clinical and V&V ...

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All JobsData Annotation JobsData Annotation Jobs in Sterling, MA

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 Sterling, MA are hiring for Data Annotation jobs?

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

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Sterling, 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
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Boston Dynamicsexternal

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 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 Technical Program Manager, Data Operations 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.

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