[Hiring] Licensed Clinician @Weekday AI

Role Description

We are seeking experienced, licensed healthcare professionals to contribute their clinical expertise to the development and advancement of next-generation Generative AI models. This opportunity is ideal for clinicians and healthcare subject-matter experts (SMEs) with active US licensure and substantial hands-on clinical experience in medicine, nursing, pharmacy, or allied health.

You will collaborate with AI research and engineering teams at a leading AI lab, helping improve the accuracy, reliability, and safety of AI systems in healthcare. Your clinical judgment will play an important role in shaping high-quality training data, evaluating model outputs, and establishing standards for clinically appropriate AI-generated information.

Key Responsibilities

• Partner with research and engineering teams to identify clinical knowledge gaps and improve AI model performance across healthcare domains.
• Develop challenging, clinically relevant tasks and create accurate, well-structured solutions to healthcare-related problems.
• Evaluate AI-generated clinical responses for medical accuracy, relevance, safety, and appropriateness.
• Create realistic clinical scenarios, case studies, and questions, along with evidence-based reference answers.
• Develop detailed evaluation rubrics covering clinical reasoning, diagnosis, treatment recommendations, patient communication, and adherence to clinical guidelines.
• Provide clear, structured written feedback to help improve the quality and reliability of AI-generated healthcare content.
• Collaborate with fellow healthcare experts to maintain consistency, accuracy, and high standards across AI training datasets.

Qualifications

• Active, unrestricted US professional license in one of the following disciplines:
  • Medical Doctor (MD)
  • Doctor of Osteopathic Medicine (DO)
  • Nurse Practitioner (NP)
  • Physician Assistant (PA)
  • Registered Nurse (RN)
  • Doctor of Pharmacy (PharmD)
• Minimum of 3 years of dedicated clinical experience following completion of relevant training.
• Experience working in a recognized hospital, healthcare system, clinical organization, or equivalent professional setting.
• Strong understanding of clinical practice, patient care, healthcare standards, and evidence-based guidelines.
• Demonstrable career progression and professional achievements within the healthcare domain.
• Excellent written communication skills, with the ability to explain complex clinical concepts and decisions clearly.
• Ability to commit reliably to at least 20 hours per week during weekdays.
• Board certification, specialty credentials, or advanced clinical qualifications will be considered an advantage.

Requirements

• Work Arrangement: Fully remote within the United States.
• Employment Type: W-2 employment.
• Workload: Minimum 20 hours per week, primarily on weekdays.
• Project Duration: Engagement timelines may be extended, shortened, or concluded early depending on project requirements and performance.
• Work Environment: Collaborate directly with client teams on high-impact AI research and development initiatives.
• Confidentiality: The role does not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.

Equal Employment Opportunity

We are committed to providing equal employment opportunities to all qualified applicants. Employment decisions are made without discrimination based on legally protected characteristics, including race, religion, color, national origin, sex, pregnancy, sexual orientation, gender identity or expression, age, disability, veteran status, genetic information, or any other status protected by applicable law.

Reasonable accommodations are available to qualified applicants upon request.

Important Eligibility Information

This opportunity is currently unable to support candidates requiring H-1B visa sponsorship or those working under STEM OPT. Applicants must hold an active, unrestricted US professional license in an eligible healthcare discipline.