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:
- 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
Key Responsibilities
- 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
Role Details
- Part-time (20–40 hours/week) with flexible scheduling
- Competitive rates: $40–$60/hour depending on expertise
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
About Mercor
Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.