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 Punjabi-speaking Nurse to assist in evaluating and refining our Punjabi-speaking medical Large Language Model. This role involves providing expertise on medical Punjabi, offering cultural insights, and reviewing error reports from simulated patient interactions. The ideal candidate will have experience working with Punjabi-speaking patients and a keen understanding of the nuances in medical communication within this demographic.
Responsibilities:
Evaluate Punjabi-speaking Medical Model: Assess the effectiveness and accuracy of our Punjabi-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 Punjabi: Proficiency in both general and medical Punjabi.
Experience with Punjabi-speaking Patients: Demonstrated experience working with Punjabi-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 Punjabi-speaking communities.
Technical Proficiency: Familiarity with virtual communication tools and model evaluation processes.
About the company:
Hippocratic AI’s mission is to develop the first safest 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 $120M in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, and SV Angel.
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Join Hippocratic AI as a Bilingual Registered Nurse Researcher, where you can leverage your nursing expertise and fluency in Punjabi to make a real difference in healthcare technology. This remote, part-time role is a fantastic opportunity for a dedicated professional looking to work 5-10 hours per week on an initial one-month contract, with the possibility of extension. In this position, you’ll play a crucial role in evaluating our Punjabi-speaking medical Large Language Model, ensuring it meets clinical standards and cultural expectations for Punjabi-speaking patients. Your insights into medical communication nuances will help refine patient interactions, making healthcare more accessible and effective. You’ll review error reports from simulated patient calls, offering feedback and ongoing support as our model evolves. Your nursing license and extensive experience with Punjabi-speaking patients will be invaluable in creating a model that provides accurate and culturally-sensitive medical advice. If you're passionate about merging nursing with innovative technology, this role at Hippocratic AI is the perfect fit for you!
Hippocratic AI is building a safety-focused large language model (LLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access the world over but has to be built and tested responsibly. ...
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