Contribute to building AI that understands climate data, sustainability topics, and ecological systems, ensuring that AI outputs in environmental contexts are scientifically sound and data-driven. Evaluate environmental science-related content and feedback from AI trainers, aligning it with real-world scientific principles and data. Provide expert input on climate science, ecosystems, and policy-oriented topics, working with cross-functional teams to enhance annotation tools.
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USD/year
USD/year
Advance AI capabilities by reviewing expert-annotated biological data using proprietary software. Your expertise in biology will directly contribute to the training of AI models, ensuring accuracy in biological concepts, terminology, and applications. This role requires analytical thinking, adaptability, and a passion for technological innovation in the life sciences.