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Live In Image Annotation Jobs in Massachusetts (NOW HIRING)

Histology Scientist I

Boston, MA ยท On-site

$39/hr

... with live animals). * Basic understanding of image analysis methodologies and microscopy techniques, including skills in image acquisition and interpretation for effective assessment of staining ...

$106K - $159K/yr

... annotation from mass-spectrometry and transcriptomics platforms. Integrate spatial metabolomics ... Background in image analysis and spatial statistics (segmentation, registration, spatial point ...

Staff AI/ML Engineer

Westford, MA ยท On-site

$99K - $198K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Strong expertise in deep learning architectures and modern machine learning approaches for image ...

Staff AI/ML Engineer

Westford, MA ยท On-site

$99K - $198K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Strong expertise in deep learning architectures and modern machine learning approaches for image ...

Staff AI/ML Engineer

Westford, MA ยท On-site

$99K - $198K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Strong expertise in deep learning architectures and modern machine learning approaches for image ...

Senior Data Operations Engineer

Boston, MA ยท On-site

$110K - $140K/yr

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Troubleshoot hardware and software issues live during demos with important stakeholders. What You ...

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Troubleshoot hardware and software issues live during demos with important stakeholders. What You ...

Senior Data Operations Engineer

Boston, MA ยท On-site

$110K - $140K/yr

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Troubleshoot hardware and software issues live during demos with important stakeholders. What You ...

High School Reading Tutor

Newton, MA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

High School Reading Tutor

Lowell, MA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

High School Reading Tutor

Somerville, MA ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

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Live In Image Annotation information

What is a live in image annotation?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What are some of the common challenges faced by live in image annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

What are the key skills and qualifications needed to thrive as a live in image annotation specialist?

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.
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 job categories do people searching Live In Image Annotation jobs in Massachusetts look for? The top searched job categories for Live In Image Annotation jobs in Massachusetts are:
What cities in Massachusetts are hiring for Live In Image Annotation jobs? Cities in Massachusetts with the most Live In Image Annotation job openings:
Infographic showing various Live In Image Annotation job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA โ€ข On-site

Other

Re-posted 12 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. Itโ€™s our diversity thatโ€™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

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