Medical and Healthcare professionals- US & India

Review AI-generated medical content for accuracy and clinical relevance.

About Turing:
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview:

We are seeking experienced medical and healthcare professionals from the United States and India to evaluate and improve large language model (LLM) outputs related to Electronic Health Records (EHR), Electronic Medical Records (EMR), and Hospital Information Systems (HIS).

In this role, you will review AI-generated clinical content, patient records, medical summaries, diagnoses, treatment recommendations, and healthcare workflows for accuracy, safety, completeness, and clinical relevance.

Eligible Professional Backgrounds

We are open to candidates with experience as:

• Medical Doctors
• General Physicians
• Internal Medicine Physicians
• Family Medicine / General Practice Physicians
• Pediatricians
• Emergency Medicine Physicians
• Nurse Practitioners
• Physician Assistants
• Registered Nurses and other qualified nursing professionals

Relevant Medical Domains

Candidates should have experience in one or more of the following areas:

• Internal / General Medicine
• Family Medicine / General Practice
• Pediatrics
• Emergency Medicine
• General nursing and patient care
• Clinical documentation and healthcare workflows

What You’ll Do Day-to-Day

• Review AI-generated medical content for accuracy, safety, completeness, and clinical relevance.
• Evaluate clinical notes, patient histories, diagnoses, treatment plans, discharge summaries, and care instructions.
• Assess AI-generated outputs within EHR, EMR, and HIS workflows.
• Identify medical errors, omissions, inconsistencies, and potential patient-safety risks.
• Review nursing documentation, patient-care recommendations, and clinical workflows where applicable.
• Provide clear, evidence-based feedback to improve AI-generated healthcare content.
• Follow detailed evaluation guidelines and complete structured questionnaires.
• Collaborate with AI researchers, clinicians, and project teams to improve model performance.

Requirements

• Currently based in the United States or India.
• Minimum 3 years of relevant clinical or healthcare experience.
• Valid professional license or registration to practice in the relevant country.
• For US candidates: MD, DO, Nurse Practitioner, Physician Assistant, Registered Nurse, or equivalent licensed healthcare qualification.
• For India candidates: MBBS, Nursing qualification, Nurse Practitioner qualification, or equivalent registered healthcare credential.
• Experience using EHR, EMR, or HIS platforms.
• Strong understanding of clinical documentation, medical terminology, and healthcare workflows.
• Excellent attention to detail and ability to identify clinical inaccuracies.
• Comfortable using web-based platforms, annotation tools, and structured questionnaires.
• Strong written communication and ability to explain clinical reasoning clearly.
• Experience in medical content review, clinical research, healthcare technology, annotation, or AI/ML evaluation is preferred.

Additional Information

• Remote engagement.
• Flexible scheduling, subject to project requirements.
• Compensation and participation details will be discussed during the recruitment process.

Evaluation Process -

• Shortlisted candidates will be sent a Job Interest Form.
• Finalized talents will go through delivery interview or assessment & proceeded further accordingly.

Skills: Family Medicine, Emergency Medicine