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Image Annotation Jobs in Boston, MA (NOW HIRING)

Knowledge and experience with image review, annotation, and visual data analysis using image analysis software is preferred * Familiarity with machine learning datasets and/or computer vision ...

Account Executive

Boston, MA · On-site +1

$120K - $160K/yr

We compliment Quickbase as a field data collection tool with features like image capture with annotation, pdf generation, and signature capture. Position Overview: This is an evergreen role, which ...

Account Executive

Boston, MA · On-site +1

$120K - $160K/yr

We compliment Quickbase as a field data collection tool with features like image capture with annotation, pdf generation, and signature capture. Position Overview: This is an evergreen role, which ...

Image Annotation information

See Boston, MA salary details

$825

$2.3K

$3.4K

How much do image annotation jobs pay per week?

As of Jun 25, 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 are the key skills and qualifications needed to thrive in the Image Annotation position, 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 is an Image Annotation job?

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 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 cities near Boston, MA are hiring for Image Annotation jobs? Cities near Boston, MA with the most Image Annotation job openings:
Infographic showing various Image Annotation job openings in Boston, MA as of June 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $119,577 per year, or $57.5 per hour.
Postdoctoral Associate, Dorkenwald Lab

Postdoctoral Associate, Dorkenwald Lab

MIT Human Resources

Cambridge, MA

Other

Posted 22 days ago


Job description

POSTDOCTORAL ASSOCIATE, DORKENWALD LAB, McGovern Institute for Brain Research -  Dorkenwald laboratory, to develop computational reconstruction, analysis, and modeling approaches for connectomics datasets. The lab develops computational approaches to reconstruct, analyze, and model large-scale connectomes, aiming to uncover organizational principles of neuronal circuits and how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell reconstructions; Circuit analysis & modeling: Analysis of cortical connectomes, including comparative analyses across ages/regions; hypothesis-driven tests of discovered circuit rules; pair analyses with data-constrained models (e.g., RNNs, dynamical systems) and simulations; Morphology representation & multi-modal linking: Learn representations of detailed cell morphologies to link across datasets (within connectomics) and across modalities (e.g., EM ↔ Patch-seq) to build multi-modal connectomic resources that provide the basis for analyses that combine, e.g., connectivity with transcriptomic information; and publish in leading venues, maintain high-quality, reproducible code, collaborate across McGovern/BCS and external collaborators, and mentor students.


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About MIT Human Resources

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Our mission is to advance a vibrant and diverse work community where individuals and groups thrive and contribute to MIT's excellence. We offer Support, Services, and Programs to enhance your work life. We're here to help. MIT is committed to helping employees achieve a healthy balance between their careers and the full lives they lead off-campus. Explore all of MIT's Work & Life resources, including MyLife Services, which provides 24/7 access to a network of experts available to help with life’s challenges.

Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014