An application made for this job — a tailored resume and cover letter that speak straight to the posting.
lemonr is seeking contractors in Indonesia to review and improve AI/LLM-generated medical content. You will create and validate prompts, responses, scenarios, and evaluation criteria while ensuring medical accuracy and safety in healthcare domains.
Qualifications include a medical degree and 2+ years of clinical or healthcare experience, with strong medical terminology and analytical skills. Familiarity with AI/LLMs and data annotation is a plus.
We are hiring for our client, the big player and leader in the artificial intelligence (annotation) sector. You will be informed about the client once you get shortlisted.
The client is a global leader in providing high-quality training data and data-platform solutions that power enterprise AI — from text/audio labeling to large-scale image/video annotation and LLM customisation.
The client combines a scalable platform and managed services to deliver trusted datasets for leading AI programmes and enterprise customers.
Should you be eager to apply your domain-specific knowledge within the cutting-edge landscape of AI and LLM advancement while getting extra income.
Location: Fully remote with flexible work hours in Indonesia
Compensation: Decided by the client based on your expertise and region.
Type: Contractor / Freelancer
Review, evaluate, and improve AI/LLM-generated content related to medicine and healthcare.
Create and validate medical prompts, responses, scenarios, and evaluation criteria.
Assess AI outputs for medical accuracy, clinical reasoning, relevance, and consistency.
Identify factual inaccuracies, unsafe recommendations, and potential medical risks in AI-generated content.
Degree in Medicine, Nursing, Pharmacy, Biomedical Sciences, or a related healthcare field.
2+ years of professional experience in clinical practice, healthcare, medical research, or a related function.
Strong understanding of medical terminology, concepts, and evidence-based reasoning.
Excellent analytical skills and attention to detail.
Familiarity with AI/LLMs, prompt evaluation, or data annotation is a plus.