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Remote Labeling Jobs in Massachusetts (NOW HIRING)

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... data curation and labeling, development, failure-analysis, production, maintenance, and ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... data curation and labeling, development, failure-analysis, production, maintenance, and ...

Veralto

Global Customer Success Manager

Watertown, MA · On-site +1

$100K - $110K/yr

This role is US Remote , working cross-functionally across regions and customer stakeholders. A ... Experience working with customers in the printing, packaging, or label industry; familiarity with ...

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Remote Labeling information

See Massachusetts salary details

$11

$15

$18

How much do remote labeling jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote labeling in Massachusetts is $15.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $16.78 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 Massachusetts? The most popular types of Labeling jobs in Massachusetts are:
What are popular job titles related to Remote Labeling jobs in Massachusetts? For Remote Labeling jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Labeling jobs in Massachusetts look for? The top searched job categories for Remote Labeling jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Labeling jobs? Cities in Massachusetts with the most Remote Labeling job openings:
Remote Labeling jobs near you
Infographic showing various Remote Labeling job openings in Massachusetts as of June 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% Remote job distribution, with an average salary of $31,729 per year, or $15.3 per hour.
Ophthalmologist - Consulting- AI Applications

Ophthalmologist - Consulting- AI Applications

Saviance

Boston, MA • On-site, Remote

Other

Posted 8 days ago

Job description

Job Title: Ophthalmologist - Consulting- AI Applications
Part time, Remote US
Role Overview
We're seeking a visionary Ophthalmologist with any hands-on experience in AI/ML, digital health, or clinical technology development to lead clinical strategy, validate and refine AI models, and ensure seamless integration of ophthalmic expertise into our cutting-edge platform. You'll be a key clinical leader partnering with product, engineering, and research teams to expand safe, accurate, and ethical ophthalmology AI at scale.
Key Responsibilities
Clinical Leadership & AI Integration
  • Provide ophthalmic subject-matter expertise to support AI model training, evaluation, and clinical validation across diverse ophthalmic conditions.
  • Collaborate with data scientists and engineers to develop, tune, and validate multimodal AI algorithms that integrate imaging and clinical data.
  • Define clinical pathways, diagnostic criteria, labeling standards, and urgency scoring logic for AI outputs.
  • Ensure AI recommendations align with evidence-based medicine and real-world ophthalmology practice.
Product & Strategy
  • Influence product strategy with deep clinical insight - from feature prioritization to user experience design.
  • Translate clinical needs into practical product enhancements and requirements.
  • Help design clinical evaluation studies and usability testing frameworks.
Education & Outreach
  • Educate internal and external stakeholders on AI capabilities, limitations, and safe use.
  • Co-create clinical content, educational modules, and case libraries for clinicians using MyEyesAI.
  • Represent MyEyesAI at conferences, webinars, or peer-reviewed publications.
Regulatory & Quality
  • Guide compliance with healthcare standards and regulations (e.g., HIPAA, clinical safety, explainability principles).
  • Partner with QA and compliance teams to ensure clinical safety protocols in development and deployment.
Qualifications
  • Professional & Clinical
  • MD or equivalent degree with board certification in Ophthalmology.
  • Active medical license in at least one U.S. state (or equivalent regulatory region).
  • AI / Technology Experience
  • Demonstrated experience with AI in clinical settings - whether through collaborations, research, model evaluation, or product implementation.
  • Comfort with interpreting AI outputs and contributing to algorithm refinement and validation.
  • Experience with ophthalmic imaging modalities (e.g., fundus photography, OCT) is a plus.
Soft Skills
  • Strong communicator able to bridge clinical, engineering, and product teams.
  • Passion for healthcare innovation and technology adoption.
  • Evidence of scientific leadership - publications, abstracts, or participation in clinical AI research preferred.
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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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