Ophthalmic Clinical Data Annotator
Location: Remote (India preferred)
Type: Full-time and part-time opportunities available.
Salary: 1.5-2.5 lakh per month for full time, or 900-1500 INR/hr for part time.
Roles and Responsibilities
Review, label, and annotate multimodal clinical data, including anterior segment eye images (smartphone and slit lamp) and structured patient clinical data (history, symptoms, visual acuity) for cataract, infections, trauma, and other anterior segment diseases in accordance with standardized grading protocols.
Work closely with the Chief Medical Officer to understand standardized grading protocols and apply them in an accurate and consistent manner. Participate in regular calibration sessions and quality control reviews to maintain annotation consistency and reduce inter-annotator variability.
Collaborate closely with AI engineers and data scientists to clarify clinical questions and ensure clinical validity of annotation guidelines.
Validate outputs of AI model predictions for clinical safety and accuracy, and flag discrepancies or errors for retraining.
Recommend effective strategies for communicating medical instructions, follow-up guidance, and referral processes to patients with varying levels of education and health literacy.
Access and, where necessary, create documents and materials used to train AI/ML algorithms to perform clinically accurate and safe patient education and counseling.
Collaborate with the Chief Medical Officer, AI/ML team, and product team to ensure patient education materials are medically safe and accurate, culturally sensitive, and linguistically appropriate for real-world clinical deployment.
Support multilingual clinical documentation review when applicable (English, Hindi, Tamil).
Ensure strict adherence to patient privacy and data security policies compliant with IRB/institutional ethics committee protocols and data protection laws.
Minimum Qualifications
Qualified Ophthalmologist (MBBS) with at least 2 years clinical experience.
Extensive clinical knowledge of anterior segment eye diseases including cataract, ocular infections, ocular trauma, ocular surface diseases, and corneal conditions including corneal infections (infectious keratitis), corneal opacities, and keratoconus.
Extensive clinical experience interacting with, examining, and counseling patients undergoing cataract and anterior segment surgery. Ability to tailor medical recommendations to diverse patient populations while taking into account their differences in education status, medical knowledge, and trust in health care providers.
Experience with clinical data review, charting, or medical record documentation.
Ability to interpret diagnostic quality of anterior segment images (smartphone or slit lamp).
Excellent attention to detail and commitment to annotation accuracy.
Excellent communication skills in English, as well as both written and verbal fluency in either Hindi or Tamil.
Comfortable working remotely and collaborating with a distributed, multidisciplinary team.
Preferred Qualifications
Fellowship training in cornea and external disease is a plus, though not required
Prior experience in clinical research, clinical trials, or medical data annotation.
Basic understanding of AI/ML concepts and how annotated data supports model training.
Interest in digital health, telemedicine, and AI for low-resource healthcare.
Why Join Us?
Make a meaningful impact on eye health at scale by helping shape AI tools that will screen, educate, and guide millions of patients in low-resource settings.
Use your clinical expertise in a flexible, non-patient-facing role that allows you to contribute remotely on your own schedule.
Join a mission-driven team at the forefront of global digital health and ophthalmic innovation.
Collaborate with AI researchers, product designers, and public health leaders to improve access to high-quality eye care worldwide.
