Remote Environmental Science Evaluators - AI Trainer

Mercor is seeking expert evaluators to support a high-impact evaluation workflow in partnership with a leading AI research lab. This project focuses on the Environmental Science domain, where you will assess agent-generated research reports related to climate data, pollution measurements, resource consumption, species population tables, and weather patterns.

We are looking for evaluators with a background in Environmental Science, Biology (with an Environmental focus), Ecology, Climate Science, or related fields.

This role is ideal for professionals who have:

• 2–3 years of professional experience in Environmental Science, ecological research, sustainability analysis, or related roles
• Experience working with climate datasets, environmental monitoring systems, or pollution measurement reports
• Hands‑on exposure to analysing resource consumption data (water, energy, land use, etc.)
• Experience interpreting species population tables, biodiversity data, or ecosystem assessments
• Familiarity with weather pattern analysis and environmental trend reporting
• Experience sourcing and validating environmental datasets, tables, and scientific statistics from credible public sources
• Strong analytical skills and attention to detail
• Excellent written communication skills
• Comfort working independently and asynchronously

Educational Background:

• Bachelor’s or Master’s degree in Environmental Science, Biology, Ecology, Climate Science, Sustainability Studies, or a related field

• Evaluate agent‑generated research reports for accuracy, relevance, data integrity, and clarity
• Assess the correctness of insights derived from climate data, pollution metrics, and resource consumption reports
• Verify species population data, environmental tables, and weather‑related statistics using reputable public and scientific sources
• Identify inconsistencies in environmental analysis, ecological reporting, and sustainability assessments
• Work independently to complete evaluations within deadlines
• Maintain consistency and precision across all assigned tasks

• Part‑time (20–40 hours / week) with flexible scheduling
• Competitive rates: $40–$60 / hour depending on expertise