Environmental Science Expert - Remote Fellowship

What You'll Do6

• Build prompts that mirror real environmental science scenarios, such as soil analysis, conservation planning, or geoscience fieldwork.
• Assess LLM outputs for factual accuracy, domain relevance, and professional tone.
• Document errors, gaps, or misleading claims in model responses using clear written feedback.
• Apply your subject matter expertise to improve how AI models handle environmental science language and tasks.
• Work with leading AI labs in an asynchronous partnership, completing tasks on your own schedule.
• Match contributions to project needs across environmental science specialties when selected.

Requirements5

• At least 5 years of professional experience in one of these fields: conservation science, environmental science and health, soil and plant science, environmental engineering, geoscience (excluding hydrology and geography), or geological technology (excluding hydrologic technology).
• Ability to work on an asynchronous schedule with leading AI labs.
• Strong written communication for explaining technical judgments about AI outputs.
• Comfort working alone on remote tasks with no set schedule.
• Capacity to translate field expertise into prompts and evaluations for AI models.

Who Should Apply

The ideal candidate has at least five years in conservation science, environmental science, soil science, environmental engineering, geoscience, or geological technology. This role suits someone who wants part-time, remote, asynchronous project work and can explain technical judgments in writing. Candidates who lack the five-year threshold or whose experience sits in hydrology, geography, or unrelated fields should skip it. Low fit scores often come from applying without a specific environmental science specialty, or from submitting vague evaluations that miss factual errors in AI outputs.

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