Turn Your Medical Expertise Into an AI Career

Annotate and structure healthcare data: Label and classify pharmacy workflows, claims notes, and medical documentation for use in AI model training.

Evaluate AI responses to Irish healthcare scenarios. Assess clinical accuracy for HSE protocols, primary care guidelines, and patient safety standards.

Review AI medical outputs for South African healthcare context. Validate clinical reasoning for public health challenges and resource-limited settings.

Assess AI responses to New Zealand medical scenarios. Evaluate accuracy for Te Whatu Ora guidelines, Māori health equity, and rural healthcare delivery.

Validate AI medical content for Canadian healthcare systems. Review clinical accuracy across provincial health regulations and bilingual patient care.

Evaluate AI responses to Australian healthcare scenarios. Assess Medicare compliance, PBS prescribing guidelines, and Indigenous health considerations.

Review AI medical outputs for NHS protocols. Validate clinical reasoning for GP referral pathways, NICE guidelines, and UK prescribing standards.

Develop and refine structured phone call scripts for collecting eligibility and benefits details for specialty medications.

Lead the design, protocol development, and statistical framework for Phase I–III cardiovascular and inflammatory disease trials.

We are looking to analyze the capabilities of large language models at answering difficult radiology questions.

Contribute oncology expertise to AI medical training. Evaluate tumor staging, chemotherapy protocols, immunotherapy decisions, and cancer care pathways.

Apply cardiology knowledge to AI healthcare development. Assess ECG interpretations, cardiac catheterization reports, and heart failure management protocols.