Medical AI Training - Telugu - Internship

Selected intern's day-to-day responsibilities include: 1. Participate in doctor-patient role-play conversations in Telugu with other participants and AI systems.

2. Create natural and realistic conversations around different medical situations. 3. Listen carefully for symptoms, medical terminology, diagnoses, prescribed medicines, and other clinical details.

4. Record and transcribe conversations, ensuring the transcript accurately matches the spoken conversation. 5. Review and assess AI-generated responses for accuracy, relevance, completeness, reasoning, and context.

6. Identify mistakes, missing information, or inconsistencies in conversations and AI responses. 7. Provide observations and feedback to help improve AI training data.

Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can start the work from home job/internship between 29th Sep'26 and 3rd Nov'26 • are available for duration of 1 month • have relevant skills and interests Stipend: INR₹ 10,000 - 15,000 /month Deadline: 2026-10-30 23:59:59 Other perks: Certificate Skills required: Voiceover, Telugu Proficiency (Written), Telugu Proficiency (Spoken) and Medical Terminology Other Requirements: • Who can participate?

• 1. Fluent or native Telugu speakers. • 2. Candidates with a medical or healthcare background. • 3. Doctors and healthcare professionals. • 4. Candidates familiar with medical terminology and commonly prescribed medicines.

• 5. Candidates with good Telugu communication skills. • 6. Candidates interested in AI, technology, and emerging AI applications. • 7. Candidates with strong attention to detail.

• 8. Candidates comfortable participating in recorded conversations. About Company: Renan is an AI consultancy organization that offers data annotation and LLM fine-tuning services across over 50 languages.

Additional information: • Why Participate? 1. Use your medical knowledge and Telugu language skills to contribute to the development of next-generation AI systems.

2. Help improve the accuracy and reliability of AI-generated medical conversations.