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Ophthalmology Ai Jobs (NOW HIRING)

Optivate

NY · On-site

$90 - $120/hr

NET engineer who is AI-native -- someone who builds production software end to end and who works ... Design and ship AI‑driven features across our ophthalmology platform. * Work with third‑party ...

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Ophthalmology Ai information

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How much do ophthalmology ai jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ophthalmology ai in the United States is $22.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.28 per hour, depending on experience, location, and employer.

What is an Ophthalmology AI?

An Ophthalmology AI job involves developing, implementing, or using artificial intelligence to assist in diagnosing, treating, and managing eye diseases. Professionals in this field may work on AI algorithms for medical imaging, predictive analytics, or automated screening tools. Roles can vary from data scientists and AI researchers to clinicians integrating AI into patient care. The goal is to enhance accuracy, efficiency, and accessibility in ophthalmology.

What are the typical daily responsibilities of someone working in an Ophthalmology AI role?

Professionals in Ophthalmology AI often spend their days developing and validating machine learning models using ophthalmic imaging data, collaborating with clinicians and researchers to understand clinical needs, and ensuring AI solutions meet regulatory and ethical standards. You may also review data quality, annotate datasets, and interpret results to provide actionable insights for patient care. Teamwork is common, frequently involving close interaction with software engineers, medical experts, and regulatory specialists. This dynamic environment offers opportunities for continuous learning and contribution to innovations that can significantly improve eye health outcomes.

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

To excel in Ophthalmology AI, you need a blend of expertise in ophthalmology, machine learning, and data analysis, typically supported by advanced degrees in medical or computer science fields. Familiarity with medical imaging platforms, AI development frameworks (such as TensorFlow or PyTorch), and regulatory compliance standards like HIPAA is crucial. Strong problem-solving skills, interdisciplinary collaboration, and effective communication are important soft skills for this role. These competencies are essential to ensure successful development and deployment of AI solutions that advance eye care and clinical outcomes.

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Ophthalmology Ai jobs near you
Infographic showing various Ophthalmology Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $46,920 per year, or $22.6 per hour.

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • On-site

Other

Re-posted 11 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.
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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

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