About the Role
- Labelling and annotating fundus images for AI machine learning, training, and validation
- Work closely with R&D team in understanding the fundus images characteristics in common eye diseases
- Receive advanced hospital-level fundus grading training
- Provide training on retinal grading to team members
- Perform eye screening using fundus cameras for screening and testing
- Data management in patient/clients eye health and screening records
- Communicate with clients on their needs and understand their case histories
Requirements
Skills/Education Required
Minimum Diploma or bachelor’s degree in either Medical Science, Optometric Sciences, Ophthalmic Practices, or equivalent.Â
Familiar with fundus images with different ocular diseasesÂ
Have at least 1 to 2 years of fundus image labelling and/or grading experienceÂ
Familiar with Ophthalmic AI project developmentsÂ
Knowledgeable in Fundus Photography and with Fundus Imaging DevicesÂ
Prior experience or knowledge in Retinal ScreeningÂ
Labelled or graded at least 100k fundus images a plusÂ
Success Factors
Self-motivated individual and ability to work independently and/or in a teamÂ
Strong accuracy, detail orientation, logical thinking, and organization skillsÂ
Good interpersonal skills
Effective communication skills, flexible and adaptable t
Enjoy problem-solving and working collaboratively with other team membersÂ
Strong sense of ownership; has the aptitude for continuous learning and improvementÂ
About the Company
Sight AI Vision
We believe in high quality, holistic healthcare services. Our goal is to enhance the health and wellbeing of every patient through our comprehensive AI Health Risk Assessment System. We envision becoming the most trusted healthcare partner.
Sight AI Mission
We strive to enhance medical diagnosis in health care. We work with experienced, professional medical experts to bring safe, reliable, and sophisticated artificial intelligence solutions to every patient.