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At Home Image Annotation Jobs in Massachusetts (NOW HIRING)

Telus Digital

$225K - $255K/yr

... image, geo, and 3D data at any scale and complexity. Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ...

Abbott Laboratories

Staff AI/ML Engineer

Westford, MA · On-site

$99.30 - $198.70/hr

... at all stages of life. Our portfolio of life-changing technologies spans the spectrum of health ... Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ...

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All JobsAt Home Image Annotation JobsAt Home Image Annotation Jobs in Massachusetts

At Home Image Annotation information

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$15

$22

$31

How much do at home image annotation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for at home image annotation in Massachusetts is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $25.19 per hour, depending on experience, location, and employer.

What is at home image annotation?

At home image annotation is a remote job where individuals label or tag objects, features, or areas within digital images to help train artificial intelligence (AI) systems. This process involves using specialized software to draw boxes, outlines, or points on images and assign labels to them based on specific instructions. The annotated images are then used by companies to improve machine learning models for tasks such as image recognition, autonomous vehicles, and medical diagnostics. Working from home, annotators usually need a computer, reliable internet, and attention to detail. The job is often flexible and can be done part-time or full-time.

What skills and qualifications are needed for at home image annotation?

To thrive as an At Home Image Annotation Specialist, you need attention to detail, strong visual perception, and a basic understanding of data labeling concepts, usually supported by a high school diploma or equivalent. Familiarity with annotation platforms like Labelbox, Supervisely, or VIA, and sometimes experience with basic image editing tools, is often required. Strong self-motivation, communication skills, and the ability to follow complex instructions help individuals excel in remote, independent work environments. These skills ensure high-quality, accurate datasets that are crucial for training reliable computer vision models.

What are common challenges faced by at home image annotation professionals, and how can they be managed?

At-home image annotation professionals often face challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring high accuracy in their work. To manage these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and regularly review guidelines to minimize errors. Collaborating through online team channels and seeking feedback can also help maintain quality and stay connected with the team, even while working remotely.

What is the difference between At Home Image Annotation vs Data Labeler?

AspectAt Home Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, autonomous vehicles, medical imagingMachine learning, AI datasets, various industries
Job FocusAnnotating images for AI modelsLabeling data for machine learning

Both At Home Image Annotation and Data Labeler roles involve preparing data for AI systems, often working remotely with similar skills. However, At Home Image Annotation specifically emphasizes annotating images, while Data Labeler may include a broader range of data types. The roles are often interchangeable depending on the project, but understanding the specific focus can help in job selection.

What are the most commonly searched types of Image Annotation jobs in Massachusetts?

The most popular types of Image Annotation jobs in Massachusetts are:

What are popular job titles related to At Home Image Annotation jobs in Massachusetts?

For At Home Image Annotation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching At Home Image Annotation jobs in Massachusetts look for?

The top searched job categories for At Home Image Annotation jobs in Massachusetts are:

What cities in Massachusetts are hiring for At Home Image Annotation jobs?

Cities in Massachusetts with the most At Home Image Annotation job openings:

At Home Image Annotation jobs near you
Infographic showing various At Home Image Annotation job openings in Massachusetts as of August 2026, with employment types broken down into 65% Full Time, 19% Part Time, and 16% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $46,837 per year, or $22.5 per hour.

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • On-site

Other

Re-posted 28 days ago

Job description

Ophthalmologist (Medical Data Labeling Specialist)
Location: India, Remote
Duration: Ongoing Part-Time
About BigRio
BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.
About Job:
This role leverages the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Responsibilities
Key responsibilities include:
  • Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
  • Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
  • Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
  • Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
  • AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
  • Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
  • Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.
Qualifications
Essential qualifications typically include:
  • Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
  • Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
  • Experience in Clinical Data Review: Familiarity with medical record documentation.
  • Attention to Detail: Commitment to accurate annotation.
  • Communication Skills: Excellent communication skills, both written and verbal, in English.
  • Teamwork: Ability to collaborate effectively with a multidisciplinary team.
Required skills often include:
  • Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
  • Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
  • Problem Solving: Ability to identify challenges and recommend solutions.
  • Adaptability: Ability to adapt to varying image resolutions and file formats.

This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

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