Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
Become instrumental in shaping the next generation of AI-powered tools for scientific discovery! As an AI Tutor, Nuclear Physics, you will play a direct role in educating and refining cutting-edge AI models using RLHF (Reinforcement Learning from Human Feedback) techniques. Your deep understanding of nuclear physics will be essential in guiding these models to develop a comprehensive and accurate grasp of critical subject areas, including but not limited to:
- Nuclear Reactions: Fission, fusion, scattering, and their applications in energy production, astrophysics, and medical treatments.
- Radioactive Decay: Types of decay, decay chains, half-life calculations, and their implications for radioactive dating, medical imaging, and nuclear waste management.
- Nuclear Structure and Models: Describing the nucleus, understanding nuclear forces, predicting nuclear properties, and exploring exotic nuclei.
- Radiation Interactions with Matter: Different types of radiation, their interactions, and the principles behind their detection and shielding – crucial knowledge for radiation safety and medical applications.
Your Day to Day
- Teaching: Craft clear, insightful explanations and examples to guide AI models toward a deep understanding of key nuclear physics concepts.
- Evaluation: Rigorously assess the performance of AI models by designing and conducting tests that challenge their capabilities in solving nuclear physics problems.
- Red Teaming: Identify potential biases, limitations, or inaccuracies in the AI models' understanding, proactively addressing them to ensure robust and reliable performance.
- Collaboration: Work closely with our team of AI researchers and engineers, providing your subject matter expertise to improve training methodologies and refine the AI models' capabilities.
About You
- Master's degree or Ph.D. in Nuclear Physics, or a related field, with a strong foundation in theoretical and practical aspects of the discipline. Exceptional candidates with a Bachelor's degree in Nuclear Physics or an MD specializing in nuclear medicine and significant practical experience will also be considered.
- Excellent communication skills, with the ability to convey complex scientific information clearly and concisely, both verbally and in writing.
- Strong analytical and problem-solving skills, with a meticulous attention to detail and a passion for scientific accuracy.
- Interest in the application of AI in scientific research and a drive to contribute to the development of cutting-edge technologies.
Pay Range (rate per hour)$15—$60 USD
Excel in a remote-friendly hybrid model.
We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus 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.Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.
