Mercor
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 . 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.
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.
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.
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.
#J-18808-Ljbffr
in-person role in San Francisco . 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.
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.
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.
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.
#J-18808-Ljbffr