Environmental Research

Prolific is seeking Environmental Researchers and Sustainability Experts to join their Expert Network for AI training. Candidates will evaluate AI models using expertise in environmental science, earning $45–$90 per hour, with flexible work-from-home options. Required qualifications include a degree in related fields and experience in environmental assessments. Responsibilities include fact-checking AI data, assessing sustainability solutions, and ensuring policy alignment with international standards.
Environmental Research & Sustainability – AI Training
We’re 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. Successful candidates will receive paid tasks (typically $45–$90 per hour) and can work from home. Projects require a minimum of one hour of uninterrupted work.


Qualifications

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: 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.
Payment Method: a PayPal account to receive payments.

Responsibilities

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).

Benefits
Competitive pay rates ($45–$90 per hour, depending on task), flexible hours, and the ability to work from home. Training participants for AI models of the future using your professional expertise.