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Environmental Research - Graduates - AI Training - Washington DC,
Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listed on 2026-05-27
Washington, District of Columbia, 20022, USA
Listing for:
Prolific
Apprenticeship/Internship, Remote/Work from Home
position Listed on 2026-05-27
Job specializations:
-
Research/Development
Research Scientist
Job Description & How to Apply Below
Environmental Research & Sustainability - AI Training
We are looking for Environmental Researchers and Sustainability Experts to join our Expert Network to help train and evaluate cutting‑edge AI models using real‑world ecological and climate expertise.
Researchers will receive payment between $45–$90 per hour for tasks requiring one hour of uninterrupted work. Successful candidates will join Prolific as a participant and be paid to train and evaluate AI models.
What you'll bring- Education: a BS, MS, or PhD in Environmental Science, Ecology, Climate Science, Environmental Engineering, or a related field.
- Professional
Experience:
experience in environmental impact assessment (EIA), climate modeling, conservation research, or corporate sustainability reporting (ESG). - Domain Knowledge: deep understanding of carbon accounting, biodiversity metrics, renewable energy systems, or environmental policy.
- Analytical Precision: the ability to identify errors in climate data interpretations, carbon footprint calculations, or ecological taxonomies.
- Geospatial & Statistical Literacy: proficiency in interpreting GIS data, satellite imagery, and longitudinal environmental datasets.
- Communication: ability to synthesize complex environmental regulations or scientific findings into clear, actionable, and technically accurate summaries.
- A Pay Pal account to receive payment.
- Evaluate AI‑Generated Research: review model responses to queries about climate change, ecosystem services, and resource management for scientific accuracy and nuance.
- Fact‑Check Environmental Claims: validate AI‑generated data regarding emissions factors, legislative requirements, and environmental protection standards.
- Assess Sustainability Logic: critique AI‑proposed solutions for waste reduction, supply chain sustainability, and habitat restoration for practical and scientific feasibility.
- Annotate Geospatial & Technical Data: identify and correct errors in model‑generated maps, environmental risk assessments, and species distribution models.
- Ensure Policy Alignment: verify that AI responses align with the latest international environmental standards and scientific consensus (e.g., IPCC reports).
Competitive pay rates between $45–$90 per hour, flexible hours, and the ability to work from home.
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