Location: Remote, US

Contract Type: Part-time, Contractor

Hours: 5-10 hours per week

Duration: Initial 1-month contract, with potential for extension

Overview:

We are seeking a fluent Japanese-speaking Registered Nurse to assist in evaluating and refining our Japanese-speaking medical Large Language Model. This role involves providing expertise on medical Japanese, offering cultural insights, and reviewing error reports from simulated patient interactions. The ideal candidate will have experience working with Japanese-speaking patients and a keen understanding of the nuances in medical communication within this demographic.

Responsibilities:

• Evaluate Japanese-speaking Medical Model: Assess the effectiveness and accuracy of our Japanese-speaking model, ensuring it aligns with clinical standards and cultural expectations.

• Provide Insights: Advise on linguistic and cultural nuances to improve patient communication and model effectiveness.

• Review Error Reports: Analyze and provide feedback on error reports from simulated patient calls, identifying areas for improvement.

• Ongoing Support: Offer continued evaluation and advice as the model evolves.

Qualifications:

• Nursing License: Valid nursing license in your practicing country.

• Fluency in Japanese: Proficiency in both general and medical Japanese.

• Experience with Japanese-speaking Patients: Demonstrated experience working with Japanese-speaking patients, preferably in a clinical setting.

• Communication Skills: Strong ability to communicate complex medical information clearly and effectively.

• Attention to Detail: Keen eye for detail, especially in identifying and addressing language and cultural nuances in medical communication.

Preferred Skills:

• Cultural Competence: Understanding of cultural variations and their impact on healthcare delivery among Japanese-speaking communities.

• Technical Proficiency: Familiarity with virtual communication tools and model evaluation processes.

About the Company:

Hippocratic AI’s mission is to develop the safest Large Language Model (LLM) focused on healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes worldwide by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.

The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, and Nvidia. Hippocratic AI has received a total of $120M in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, and SV Angel.