Join Labelbox: Revolutionize Healthcare with AI

Labelbox is the leading data-centric AI platform for building intelligent applications. Our platform enables teams to harness the latest advances in generative AI and LLMs to inject the right degree of human supervision and automation. Whether you’re building AI products that require human fine-tuning or applying AI to reduce manually-intensive tasks like data labeling, Labelbox helps teams work effectively and quickly.

Transforming Industries

Labelbox's clients are transforming industries such as insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is trusted by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, and is used by hundreds of leading AI teams. We are proudly backed by renowned investors like SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures, and Kleiner Perkins.

About the Role: AI Tutor, Medicine

Become a vital part of revolutionizing healthcare through AI! As an AI Tutor, Medicine at Labelbox, you will play an instrumental role in teaching, refining, and challenging AI models designed to navigate the multifaceted world of medicine. Your expertise will ensure these models have a nuanced and reliable understanding of critical medical domains, including:

• Diagnosis and treatment of diseases
• Patient care
• Medical imaging analysis
• Drug discovery and development
• Biomedical research and public health

Your role is pivotal in shaping AI that can improve human health on a global scale.

Your Day-to-Day Responsibilities

• Educate AI: Analyze and refine AI-generated outputs related to various medical specialties. Provide comprehensive feedback and corrections to enhance the accuracy, safety, and efficacy of AI models in understanding complex medical concepts, procedures, and patient cases.
• Problem Solving: Guide AI models through intricate medical problems, presenting clear, step-by-step solutions and explanations. Your expertise will be crucial in training AI to approach medical scenarios with the same rigor and analytical thinking as a trained physician.
• Red Teaming: Utilize your medical knowledge to rigorously test the limits of AI systems in medical applications. Identify potential biases, ethical concerns, safety risks, and unintended consequences to ensure the responsible and ethical development of AI in healthcare.

About You

• MD or a Bachelor's degree in Medicine, Biology, Biomedical Engineering, or a related field
• Solid foundation in medical sciences, including anatomy, physiology, pathology, pharmacology, and clinical practices
• Exceptional analytical and critical thinking skills, with the ability to deconstruct and explain complex medical information effectively
• Strong communication skills, capable of conveying intricate medical concepts clearly to both technical and non-technical audiences

Compensation and Work Model

Pay Range: $15—$60 USD per hour

Excel in a remote-friendly hybrid model. While we embrace remote work, we have transitioned to a hybrid model focused on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy

Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything suspicious, we encourage you to exercise caution and suspend communications. For any concerns regarding the legitimacy of communications, please reach out to us at [email protected] for verification.