Mercor is hiring Ophthalmologists on behalf of a healthcare AI partner developing advanced vision-care decision-support tools. You will use your clinical expertise to review, annotate, and validate ophthalmic data, directly improving the safety and accuracy of medical AI systems. This is an
- in-person role in San Francisco
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- 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.
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- Requirements
- 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.
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- Work Arrangement
- 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.
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- Why Join
- 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.