Description
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.
Who We're Hiring
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:
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2–3 years of professional experience in Environmental Science, ecological research, sustainability analysis, or related roles
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Experience working with climate datasets, environmental monitoring systems, or pollution measurement reports
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Hands-on exposure to analysing resource consumption data (water, energy, land use, etc.)
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Experience interpreting species population tables, biodiversity data, or ecosystem assessments
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Familiarity with weather pattern analysis and environmental trend reporting
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Experience sourcing and validating environmental datasets, tables, and scientific statistics from credible public sources
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Strong analytical skills and attention to detail
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Excellent written communication skills
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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
Key Responsibilities
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Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
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Assess the correctness of insights derived from climate data, pollution metrics, and resource consumption reports
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Verify species population data, environmental tables, and weather-related statistics using reputable public and scientific sources
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Identify inconsistencies in environmental analysis, ecological reporting, and sustainability assessments
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Work independently to complete evaluations within deadlines
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Maintain consistency and precision across all assigned tasks
Role Details
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Part-time (20–40 hours/week) with flexible scheduling
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Competitive rates: $40–$60/hour depending on expertise
Interested in this position?
Apply directly on the company's website