Join Labelbox: The Premier Data-Centric AI Platform

Labelbox is the leading data-centric AI platform dedicated to building intelligent applications. Our platform empowers teams to harness the latest advancements in generative AI and LLMs by integrating precise human supervision and automation. Whether you're creating AI products with LLMs that require human fine-tuning or reducing time spent on labor-intensive tasks like data labeling or business insight extraction, Labelbox ensures your team operates effectively and efficiently.

Transforming Industries with Labelbox

Our clients, including Fortune 500 enterprises such as Walmart, Procter & Gamble, Genentech, and Adobe, are revolutionizing sectors like insurance, retail, manufacturing and robotics, healthcare, and beyond. Supported by prominent investors like SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures, and Kleiner Perkins, Labelbox is at the forefront of AI innovation.

About the Role: AI Tutor in Chemical/Materials Science

Take the lead in shaping the future of AI as an AI Tutor specialized in Chemical/Materials Science. Your role will be crucial in advancing AI's understanding of chemical and material science, contributing to areas such as materials design, drug discovery, and chemical synthesis. Using RLHF (Reinforcement Learning from Human Feedback) techniques, you'll foster models that reason, predict, and innovate optimally within these scientific domains.

Your Day-to-Day Responsibilities

• Educate AI: Analyze and offer feedback on AI outputs related to chemical reactions, molecular structures, material properties, and synthesis pathways, directly enhancing the AI's real-world accuracy.
• Problem Solving: Employ your expertise to solve complex chemical and materials science problems, such as designing experiments, optimizing reactions, predicting material behavior, and analyzing spectroscopic data.
• Red Teaming: Use your deep field knowledge to identify and address potential biases, limitations, and inaccuracies in the AI's understanding, ensuring reliable and practical outputs.

Qualifications and Requirements

• Bachelor's, Master's degree, or PhD in Chemical Engineering, Chemistry, Materials Science, or a closely related field.
• Strong theoretical and practical understanding of core concepts in chemistry and/or materials science.
• Excellent communication skills to clearly convey complex scientific information.
• Experience with data analysis, modeling, or simulation in a chemical or materials science context is advantageous.
• A passion for advancing AI and its applications in scientific discovery.

Compensation

Rate per hour: $15—$60 USD

Work Model

Excel in our remote-friendly hybrid model. While we value the flexibility of remote work, we emphasize collaboration through our tech hubs in San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We support asynchronous communication, autonomy, and task ownership, complemented by periodic in-person meetings.

Your Personal Data Privacy

Your personal information, provided during your application, will be processed in line with Labelbox’s . All official emails from Labelbox will come from a @labelbox.com address. If you suspect any suspicious activity or communications, please halt interactions and contact us at for verification.

Company Name: Labelbox

Job Title: AI Tutor, Chemical/Materials Science