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$11

$63

$90

How much do remote medical data encoder jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote medical data encoder in Boston, MA is $63.79, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $74.18 per hour, depending on experience, location, and employer.

What is the difference between Remote Medical Data Encoder vs Remote Medical Coder?

AspectRemote Medical Data EncoderRemote Medical Coder
CertificationsTypically AHIMA or AAPC certification, coding credentialsSame certifications, often AHIMA or AAPC
Work EnvironmentRemote, healthcare facilities, insurance companiesRemote, hospitals, clinics, insurance companies
Job FocusConverting medical records into coded data for databasesAssigning codes to diagnoses and procedures for billing
Industry UsageHealthcare, insurance, data managementHealthcare, billing, insurance claims

Both roles require similar certifications and work remotely within healthcare settings. The main difference is that Remote Medical Data Encoders focus on converting medical records into coded data for databases, while Remote Medical Coders assign codes directly for billing and insurance purposes. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

What are popular job titles related to Remote Medical Data Encoder jobs in Boston, MA? For Remote Medical Data Encoder jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Medical Data Encoder jobs in Boston, MA look for? The top searched job categories for Remote Medical Data Encoder jobs in Boston, MA are:
Remote Medical Data Encoder jobs near you
Ophthalmologist (Medical Data Labeling Specialist)

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • Remote

Other

Posted 18 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

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