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
Evaluate expert-labeled data using proprietary tools to help shape the next generation of AI systems. Use your domain expertise in biology, neuroscience, or related fields to ensure scientific accuracy and quality in AI training by providing structured feedback and assessing human and AI-generated scientific responses.