Mercor
Use clinical expertise to review, annotate, and validate ophthalmic data to improve the safety and accuracy of medical AI systems. Responsibilities include clinical data annotation, quality review, knowledge input, model evaluation, and documentation support.
Key Responsibilities
- • Clinical Data Annotation: Review and label ophthalmology notes, imaging reports, and EHR data; identify diagnoses, findings, and treatment pathways.
- • Quality Review: Audit annotations and verify AI-generated outputs for medical accuracy.
- • Knowledge Input: Provide guidance on annotation standards, taxonomy updates, and edge-case definitions.
- • Model Evaluation: Evaluate AI-produced summaries and recommendations; flag errors and provide structured feedback.
- • Documentation Support: Contribute to documentation standards and onboarding materials for new annotators.
Required
- • MD/DO specialising in Ophthalmology; board-certified or board-eligible.
- • Active medical license in good standing.
- • 2+ years of clinical experience (medical or surgical ophthalmology).
- • Strong understanding of ocular disease, imaging modalities (OCT, fundus, FA), and treatment workflows.
- • Familiarity with ophthalmic EHRs, terminology (ICD-10, CPT, SNOMED), and precise documentation.
Preferred
- • Interest or experience in medical AI, data annotation, or informatics preferred.
Company Overview
Industry: Healthcare Technology
Company Size: 500-1,000 employees
Founded: 2015
Headquarters: San Francisco, CA
Company Links
Key Contacts
Contact information not available
About the Company
Leading healthcare technology company focused on improving patient outcomes through innovative digital solutions. We're transforming the way healthcare is delivered with cutting-edge technology and data-driven insights. Our platform serves over 10,000 healthcare professionals and has processed millions of patient interactions.
Recent News & Updates
Key Responsibilities
- Clinical Data Annotation: Review and label ophthalmology notes, imaging reports, and EHR data; identify diagnoses, findings, and treatment pathways.
- Quality Review: Audit annotations and verify AI-generated outputs for medical accuracy.
- Knowledge Input: Provide guidance on annotation standards, taxonomy updates, and edge-case definitions.
- Model Evaluation: Evaluate AI-produced summaries and recommendations; flag errors and provide structured feedback.
- Documentation Support: Contribute to documentation standards and onboarding materials for new annotators.
- MD/DO specialising in Ophthalmology; board-certified or board-eligible.
- Active medical license in good standing.
- 2+ years of clinical experience (medical or surgical ophthalmology).
- Strong understanding of ocular disease, imaging modalities (OCT, fundus, FA), and treatment workflows.
- Familiarity with ophthalmic EHRs, terminology (ICD-10, CPT, SNOMED), and precise documentation.
- Interest or experience in medical AI, data annotation, or informatics preferred.
- In-person (San Francisco), part-time (up to 10 hours/week).
- Flexible hours suited for practicing clinicians.
- Growth opportunities in applied clinical AI and cross-disciplinary collaboration.
- Shape next-generation AI-assisted vision care with real clinical expertise.
- Collaborate with teams focused on accuracy, ethics, and patient safety.
- Gain exposure to cutting-edge healthcare AI while maintaining clinical flexibility.
- Contribute to a mission to improve global access to intelligent, evidence-based eye care.
Keep track of your job search
Save personal notes for each job to track your thoughts, application status, and follow-ups.
Try for freeAI-powered resume customization
Let AI tailor your resume for each job to highlight your most relevant experience and skills.
Try for free