Medical AI – Medical Data & AI Trainer - Fresher (WFH)

About the job:We are looking for medical students and healthcare professionals-in-training who are interested in the intersection of medicine and Artificial Intelligence (AI).

As a Medical AI Trainer, you will work on projects that help train and evaluate the next generation of AI models used in healthcare. You will use your medical knowledge to create high-quality datasets based on realistic doctor-patient interactions, clinical scenarios, medical dictation, diagnoses, findings, prescriptions, and healthcare workflows.

Key Responsibilities:

1. Create medical datasets based on realistic clinical scenarios, including doctor-patient conversations, symptoms, diagnoses, investigations, findings, treatment plans, and prescriptions.

2. Participate in medical role-plays by simulating doctor-patient conversations with AI systems and other members of the community.

3. Generate and annotate high-quality medical conversations across different specialties, patient profiles, clinical situations, and stages of the patient journey.

4. Interact with AI models and evaluate their responses for medical accuracy, relevance, reasoning, completeness, and adherence to the given clinical context.Who can apply:Only those candidates can apply who:Salary:₹ 5,00,000 /yearExperience:No experience requiredDeadline:[hidden]:59:59Skills required:Attention to Detail, Bengali Proficiency (Spoken) and Bengali Proficiency (Written)About Company:Renan is an AI consultancy organization that offers data annotation and LLM fine-tuning services across over 50 languages.

Responsibilities

We are looking for medical students and healthcare professionals-in-training who are interested in the intersection of medicine and Artificial Intelligence (AI).

As a Medical AI Trainer, you will work on projects that help train and evaluate the next generation of AI models used in healthcare. You will use your medical knowledge to create high-quality datasets based on realistic doctor-patient interactions, clinical scenarios, medical dictation, diagnoses, findings, prescriptions, and healthcare workflows.

Key Responsibilities:

1. Create medical datasets based on realistic clinical scenarios, including doctor-patient conversations, symptoms, diagnoses, investigations, findings, treatment plans, and prescriptions.

2. Participate in medical role-plays by simulating doctor-patient conversations with AI systems and other members of the community.

3. Generate and annotate high-quality medical conversations across different specialties, patient profiles, clinical situations, and stages of the patient journey.

4. Interact with AI models and evaluate their responses for medical accuracy, relevance, reasoning, completeness, and adherence to the given clinical context.