DataGen & Evals

**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 Japanese–English bilingual clinicians who are licensed and actively practicing in Japan in Internal Medicine or Primary Care. You will contribute to a clinical AI evaluation project by reviewing and annotating Japanese patient histories covering multiple visits, with a focus on Type 2 diabetes.

Responsibilities

• Review longitudinal patient histories in Japanese and interpret the clinical context across multiple visits.
• Identify and correct localization issues to ensure content is appropriate for clinical practice in Japan.
• Write and rate patient check-in plans across approximately 10 decision points per case.
• Review AI-generated plans for clinical appropriateness, accuracy, and relevance to the patient’s history.
• Apply sound clinical reasoning and follow the project’s annotation and evaluation guidelines.

Required qualifications

• Valid medical license in Japan and active clinical practice in Internal Medicine or Primary Care.
• Recent, hands-on experience managing patients with Type 2 diabetes.
• Strong written Japanese and English proficiency, including the ability to interpret clinical documentation and clearly explain clinical judgments.
• Strong clinical reasoning, attention to detail, and the ability to evaluate patient management plans.
• Availability to commit approximately 15 hours per week for 10 weeks.

Project commitment

• Duration: 10 weeks.
• Time commitment: Approximately 15 hours per week.
• Estimated handling time: Approximately two hours per case, including localization corrections, check-in plan creation and rating, and AI-generated plan review.