Ophthalmologist

Clinical contribution

Help AI research reflect the clinical reasoning used in ophthalmology. This hourly work draws on practical clinical experience to develop demanding tasks and assess the answers produced by AI systems. The work can fit around an existing role through a flexible, part time arrangement.

Tasks and review

• Create challenging exercises based on actual clinical workflows, covering eye examinations, OCT and fundus image interpretation, visual field testing, differential diagnosis, and treatment planning.
• Judge model responses for clinical or technical correctness, patient safety, and consistency with current practice and relevant professional guidance.
• Explain your assessments in organized written feedback that researchers can use to improve model performance.

The assignments call for specialist judgment and clear explanations of complex ophthalmology concepts. Careful reading and attention to the details of each response are essential to the review work.

Qualifications

An MD, DO, or equivalent medical degree, completed ophthalmology residency, and an active US medical license are required.

Working knowledge is required in at least one of these areas:

• Retinal or vitreoretinal disease assessed with OCT, or glaucoma evaluated using OCT and visual fields.
• Corneal and external eye conditions, refractive procedures, or cataract surgery.
• Neuro ophthalmology, ocular oncology, oculoplastics, uveitis, or pediatric eye disease and strabismus.

Ophthalmology board certification or eligibility, or a subspecialty fellowship, is advantageous. Other strengths include academic or teaching hospital experience, ophthalmic imaging systems, peer reviewed publications, and clinical research or AI tools for medicine.

All contributors need strong written communication, a careful approach to detail, and the ability to complete assignments independently in a remote environment.

Pay and working arrangements

Compensation is hourly and may reach $180 per hour, depending on the project. Work is fully remote and asynchronous, so tasks can be completed at your own pace without a fixed schedule or a minimum number of hours.