Environmental Science Evaluators
Mercor • Remote • Posted 88 days ago
Education
Any
Type
Pay Rate
$50/task
Posted
88d ago
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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.
Environmental Science domain
Who We're Hiring
Educational Background
Key Responsibilities
Role Details
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: 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 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
- 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
- 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
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($50/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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Frequently Asked Questions
Is this for freelancers or full-time employees?
Both. Mercor tries to match you with clients who want long-term contractors. Unlike other platforms where you log in and grab small tasks, Mercor matches you with one company for a steady role (e.g., 'Python Tutor for 3 months').
I'm not comfortable on camera. Can I still apply?
No. The application requires a video interview with an AI avatar. The AI asks you questions about your resume, and the video is shared with potential clients to prove your communication skills.
Does it cost money to join?
No. You should never pay to join these platforms. Mercor makes money by charging the client a fee on top of your hourly rate.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
How soon will I start?
Important: Mercor is a talent marketplace, not a task queue. Applying puts you in a pool of candidates. You will only start working when a specific client (like a major AI lab) selects your profile. This matching process can take weeks.