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Remote Ophthalmology Ai Jobs (NOW HIRING)

Urrly

Revenue Cycle Manager (Remote)

Houston, TX · Remote

$110K - $125K/yr

Experience with podiatry, vascular, orthopedics, dermatology, ophthalmology, surgery, urgent care ... We use AI to review every application against the same clear requirements for the role. Every ...

Aegis Ventures

Senior Operations Manager

... AI and machine learning, supported by our industry-leading fundus imaging technology. By ... This is a remote, US-based position. What You'll Do * Own camera ordering, inventory management ...

Aegis Ventures

Senior Operations Manager

... AI and machine learning, supported by our industry-leading fundus imaging technology. By ... This is a remote, US-based position. What You'll Do * Own camera ordering, inventory management ...

Emmes

Sr. In-House CRA

Rockville, MD · On-site +1

... ophthalmology, rare diseases, and neuroscience ... Through our two business units- Emmes, a full-service CRO , and Veridix AI, our technology, data ...

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How much do remote ophthalmology ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote ophthalmology ai in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $34.13 per hour, depending on experience, location, and employer.

What is remote ophthalmology AI?

Remote ophthalmology AI refers to the use of artificial intelligence technologies to assist in the diagnosis, monitoring, and management of eye diseases from a distance. This can involve analyzing retinal images, detecting conditions like diabetic retinopathy, and providing recommendations to eye care professionals without the patient needing to visit a clinic in person. The goal is to improve accessibility to eye care, speed up diagnosis, and support healthcare providers in making accurate decisions. Remote ophthalmology AI is especially valuable in underserved or rural areas where access to eye specialists may be limited.

What are the key skills and qualifications needed to thrive as a remote ophthalmology AI specialist?

To thrive as a Remote Ophthalmology AI Specialist, you need a strong background in ophthalmology, data analysis, and machine learning, usually supported by a medical or data science degree and clinical experience. Familiarity with AI platforms, imaging software, and regulatory compliance tools is typically required, along with certifications in AI or digital health if available. Excellent problem-solving, communication, and collaboration skills help in interpreting results and working with cross-functional teams. These skills ensure accurate diagnostics, effective deployment of AI solutions, and improved patient outcomes in remote healthcare settings.

What are some common challenges faced when working as a remote ophthalmology AI specialist, and how can they be addressed?

One common challenge in a Remote Ophthalmology AI role is ensuring high-quality data collection and annotation, as the accuracy of AI models depends heavily on robust and well-labeled datasets. Another challenge is effective collaboration with both clinicians and software engineers, which requires clear communication to translate clinical needs into technical solutions. To address these, it’s important to establish standardized workflows for data management and prioritize regular cross-functional meetings. Staying updated on regulatory requirements and best practices for telemedicine and AI ethics also helps maintain compliance and trust in AI-driven diagnostics.

What is the difference between Remote Ophthalmology Ai vs Remote Optometrist?

AspectRemote Ophthalmology AiRemote Optometrist
CredentialsTypically requires medical degree, ophthalmology residency, and AI/tech trainingRequires Doctor of Optometry (OD) degree and state licensure
Work EnvironmentPrimarily telehealth platforms, AI data analysis, and remote diagnosticsTelehealth consultations, patient exams, and vision assessments
Industry UsageUsed by healthcare providers integrating AI for diagnosis and treatment planningUsed by clinics and private practices for patient eye care

Remote Ophthalmology Ai focuses on AI-driven diagnostics and treatment planning in ophthalmology, often working alongside ophthalmologists. In contrast, Remote Optometrists provide direct patient care, vision testing, and prescribing corrective lenses. Both roles operate remotely but serve different aspects of eye health, with the AI role emphasizing technology integration and the optometrist role emphasizing patient interaction.

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Remote Ophthalmology Ai jobs near you
Infographic showing various Remote Ophthalmology Ai job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,247 per year, or $31.4 per hour.

Ophthalmologists (Freelance - Remote) - Atlanta, US

Prolific

Remote

Full-time

Re-posted yesterday

Job description

Job Summary:
Prolific is building the biggest pool of quality human data in the world, and they are seeking qualified Ophthalmologists to support a high-impact AI development project focused on medical image interpretation and clinical accuracy. The role involves reviewing and evaluating medical images, verifying AI-generated interpretations, and providing expert feedback to improve AI systems used in healthcare.
Responsibilities:
• Reviewing and evaluating medical images using your professional expertise
• Reviewing and verifying AI-generated interpretations of medical images
• Correcting inaccuracies and providing expert feedback on AI-generated responses
• Evaluating the quality, accuracy, and clinical relevance of model outputs
• Helping improve the performance of next-generation AI systems used in medical applications
Qualifications:
Required:
• Verified status as a qualified Ophthalmologist with relevant professional credentials
• Experience reviewing, interpreting, and analysing clinical imaging and diagnostic data as part of routine practice
• Strong attention to detail and the ability to assess complex medical information accurately
• A reliable, fast internet connection and access to a computer
• A PayPal account to receive payments from our clients
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.

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