AI Training for Chemical/Materials Science (Freelance, Remote)
Remote - United States, United Kingdom, Poland, Mexico, Canada, India
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Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. 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 a critical part of building the next generation of AI! As an AI Tutor specialized in Chemical/Materials Science, you will play a direct role in shaping how AI understands and interacts with the building blocks of our world. Your expertise will be vital in developing AI models capable of tackling complex challenges in materials design, drug discovery, chemical synthesis, and more. By employing your knowledge through RLHF (Reinforcement Learning from Human Feedback) techniques, you will guide these models to reason, predict, and innovate within this exciting scientific domain.
Your Day to Day
- Educate AI: Analyze and provide feedback on AI-generated outputs related to chemical reactions, molecular structures, material properties, and synthesis pathways. Your guidance will directly improve the AI's accuracy and ability to apply its knowledge to real-world problems.
- Problem Solving: Using your expertise, you will provide step-by-step solutions and explanations to complex problems in chemical and materials science. This could include designing experiments, optimizing reaction conditions, predicting material behavior under different conditions, or analyzing spectroscopic data. Your input will be crucial in teaching the AI how to reason through these problems effectively.
- Red Teaming: Utilize your deep understanding of the field to identify potential biases, limitations, or inaccuracies in the AI's knowledge base. Design and conduct tests that push the boundaries of the model's understanding, ensuring its outputs are reliable and applicable to real-world scenarios.
About You
- 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 and the ability to break down complex scientific information into clear and concise explanations.
- Experience with data analysis, modeling, or simulation in a chemical or materials science context is a plus.
- A passion for advancing the field of AI and its applications in scientific discovery.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Chemistry Data analysis Databricks Drug discovery Engineering Generative AI LLMs PhD Reinforcement Learning RLHF Robotics Teaching
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