Environmental Science Expert - Remote Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI recruits environmental science professionals for an AI research fellowship that runs year-round. You apply your domain knowledge to prompt development and review LLM responses tied to real professional tasks. The work is remote and asynchronous, so you choose your own hours without a minimum commitment. Project openings appear from time to time, and your start depends on matching a current project.
What You'll Do6
- 1Build prompts that mirror real environmental science scenarios, such as soil analysis, conservation planning, or geoscience fieldwork.
- 2Assess LLM outputs for factual accuracy, domain relevance, and professional tone.
- 3Document errors, gaps, or misleading claims in model responses using clear written feedback.
- 4Apply your subject matter expertise to improve how AI models handle environmental science language and tasks.
- 5Work with leading AI labs in an asynchronous partnership, completing tasks on your own schedule.
- 6Match contributions to project needs across environmental science specialties when selected.
Requirements5
- 1At 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).
- 2Ability to work on an asynchronous schedule with leading AI labs.
- 3Strong written communication for explaining technical judgments about AI outputs.
- 4Comfort working alone on remote tasks with no set schedule.
- 5Capacity 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.
Salary Insight
The fellowship pays up to $100 per hour. For project-based AI training work that requires deep domain expertise, this rate sits at the higher end of typical ranges and matches professionals with several years of specialized experience.
Pay and demand for Environmental Science & Sustainability roles
AggregatedTypical pay
$75/hour
This role
up to $100/hr
Most Environmental Science & Sustainability roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 527 similar roles that publish pay · 95 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 586
- Listed in last 30 days
- 268
- Remote
- 97%
Hiring most right now: micro1 (264) · Mercor (82) · SME Careers (61)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation8%
- data annotation7%
Figures from Environmental Science & Sustainability roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
Up to $100/hr
Required Skills
Application Tip
Lead with the exact environmental science role that gives you five or more years, such as conservation scientist or geoscientist, and add one concrete project where you reviewed technical content or wrote expert prompts.
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3Outcome by email
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