|
AI Trainer for Climate Science (Freelance, Remote) - Springfield Illinois
Company: Alignerr Location: Springfield, Illinois
Posted On: 11/07/2024
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 Shape the future of AI in Climate Science.-- This innovative role as an AI Trainer - Climate Science offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Climate Science content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in Climate Science. Your Day to Day - Educate AI: Analyze and provide feedback on AI-generated outputs related to Climate Science. 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 Climate Science. 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.
- You create your own working hours depending on project length. About You
|
|