ZipRecruiter

Log In

1

Image Annotation Jobs in Boston, MA (NOW HIRING)

Worky

Clinical Imaging Platform Engineer

Boston, MA · On-site

$140 - $180/hr

Our annotation pipeline measures itself: race-free case claiming, per-annotator phase progression ... image position, direction cosines, and pixel spacing into world-space contours landing on the right ...

New

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... image segmentation, feature detection, classification and quantitative analysis of OCT images ... 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

... image segmentation, feature detection, classification and quantitative analysis of OCT images ... Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ...

New

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... image segmentation, feature detection, classification and quantitative analysis of OCT images ... 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

... image segmentation, feature detection, classification and quantitative analysis of OCT images ... Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ...

next page

Showing results 1-20

All JobsImage Annotation JobsImage Annotation Jobs in Boston, MA

Image Annotation information

See Boston, MA salary details

$825

$2.3K

$3.4K

How much do image annotation jobs pay per week?

As of Aug 20, 2026, the average weekly pay for image annotation in Boston, MA is $2,299.56, according to ZipRecruiter salary data. Most workers in this role earn between $1,692.31 and $2,861.54 per week, depending on experience, location, and employer.

What is an image annotation?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the key skills and qualifications needed to thrive in image annotation, and why are they important?

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What are the most commonly searched types of Image Annotation jobs in Boston, MA?

The most popular types of Image Annotation jobs in Boston, MA are:

What are popular job titles related to Image Annotation jobs in Boston, MA?

For Image Annotation jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Image Annotation jobs in Boston, MA look for?

The top searched job categories for Image Annotation jobs in Boston, MA are:

What cities near Boston, MA are hiring for Image Annotation jobs?

Cities near Boston, MA with the most Image Annotation job openings:

Image Annotation jobs near you
Infographic showing various Image Annotation job openings in Boston, MA as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 20% Part Time, and 5% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $119,577 per year, or $57.5 per hour.

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • On-site

Other

Re-posted 26 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.
Saviance logo

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

FacebookTwitter

View All Saviance Jobs

Apply