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

Responsibilities:

• Evaluate Hindi-speaking Medical Model: Assess the effectiveness and accuracy of our Hindi-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 Hindi: Proficiency in both general and medical Hindi.

• Experience with Hindi-speaking Patients: Demonstrated experience working with Hindi-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 Hindi-speaking communities.

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

About Hippocratic AI

Hippocratic AI’s mission is to develop the first safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world 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 $137 million in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures, and Greycroft. For more information on Hippocratic AI: www.HippocraticAI.com.