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Remote Labeling Jobs in Boston, MA (NOW HIRING)

Jj

Labeling Operations Specialist

Danvers, MA · On-site +1

Remote work may be eligible. While specific cities are listed in the Locations section for ... Johnson & Johnson is seeking a Labeling Operations Specialist to join our team. In this role, you ...

Jj

Labeling Operations Specialist

Danvers, MA · On-site +1

Remote work may be eligible. While specific cities are listed in the Locations section for ... Johnson & Johnson is seeking a Labeling Operations Specialist to join our team. In this role, you ...

General Motors

Senior AI/ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

Danaher

Senior Counsel

Boston, MA · On-site +1

$185K - $204K/yr

The role is designated as fully remote ; however, there is a strong preference for the incumbent to ... g., labeling, promotional review, postmarket risks). * Provide practical guidance on global ...

Danaher

Senior Counsel

Marlborough, MA · On-site +1

$185K - $204K/yr

The role is designated as fully remote ; however, there is a strong preference for the incumbent to ... g., labeling, promotional review, postmarket risks). * Provide practical guidance on global ...

Onco360

Oncology Concierge Pharmacy Technician

Waltham, MA · Remote

$19 - $23.25/hr

This is a full-time position, with Remote Work possible. Benefits * Medical; Dental; Vision * 401k ... This could include but not limited to: verifying on label status, offering HUB enrollment ...

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Remote Labeling information

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How much do remote labeling jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for remote labeling in Boston, MA is $15.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $16.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Labeling position, and why are they important?

To excel in a Remote Labeling role, you should have strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with labeling platforms, data annotation tools, and sometimes knowledge of specific data types (e.g., images, audio, or text) is highly beneficial. Strong time management, communication, and self-motivation are important soft skills for maintaining productivity when working independently. These skills ensure data integrity, meet quality standards, and support effective remote collaboration in a deadline-driven environment.

What is a Remote Labeling job?

A Remote Labeling job involves annotating or tagging data, such as images, text, audio, or video, to help train AI models. Labelers follow specific guidelines to categorize data accurately, ensuring machine learning algorithms can recognize patterns. These jobs are typically performed from home using specialized software. Common industries include artificial intelligence, autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, but attention to detail and consistency are essential.

What does a typical workday look like for someone in a Remote Labeling position?

A typical day in a Remote Labeling role involves reviewing and accurately tagging or annotating various data types, such as images, videos, or text, according to specific guidelines and project requirements. You’ll often interact with cloud-based labeling platforms, complete tasks or batches assigned by a project manager, and submit your work for quality review. Communication with supervisors or team members generally happens via email or team messaging platforms. The work is usually self-paced but deadline-driven, giving you flexibility as long as project goals are met. Successful Remote Labeling professionals stay organized and proactive to manage task volumes and maintain high standards of quality.

What are the most commonly searched types of Labeling jobs in Boston, MA? The most popular types of Labeling jobs in Boston, MA are:
What are popular job titles related to Remote Labeling jobs in Boston, MA? For Remote Labeling jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Labeling jobs in Boston, MA look for? The top searched job categories for Remote Labeling jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Labeling jobs? Cities near Boston, MA with the most Remote Labeling job openings:
Remote Labeling jobs near you
Infographic showing various Remote Labeling job openings in Boston, MA as of June 2026, with employment types broken down into 54% Full Time, and 46% Part Time. Highlights an 100% Remote job distribution, with an average salary of $31,563 per year, or $15.2 per hour.
Ophthalmologist (Medical Data Labeling Specialist)

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • Remote

Other

Posted 17 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

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