Ecology & Evolution Expert (ALE)
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Before you apply
Salary$30 – $80/hr
LocationFully Remote
Work moderemote · United States
Typecontract
SeniorityMid
Experience3+ yrs
DepartmentSTEM
Company size1,001–5,000 people
PostedOct 23, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Advanced degree in ecology, evolutionary biology, or a related discipline, or equivalent professional expertise.
3+ years of relevant research or applied experience.
Experience analyzing ecological or evolutionary data.
Fluent English, with strong written communication skills.
Experience with R, Python, GIS, population modeling, phylogenetics, or conservation planning.
Skills
R
Python
GIS
population modeling
phylogenetics
conservation planning
About the opportunity
Anyone AI is seeking Ecology & Evolution Experts to build realistic tasks that assess AI agents’ ability to investigate ecological and evolutionary questions. You will create original tasks, develop reference solutions, and evaluate agents working with scientific data, tools, and software.
Location: Remote — Latin America and Europe
Engagement: Project-based with flexible hours
Compensation: US$30–US$80 per hour, depending on expertise and project requirements
Responsibilities
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Design tasks involving biodiversity, population dynamics, conservation, evolutionary processes, or ecological interactions.
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Develop reference solutions with explicit assumptions, analytical methods, and evidence.
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Evaluate agents using ecological datasets, spatial tools, statistical software, or phylogenetic resources.
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Define evaluation criteria for scientific reasoning, reproducibility, and interpretation.
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Identify sampling bias, inappropriate models, unsupported causal claims, and other methodological errors.
Requirements
•
Advanced degree in ecology, evolutionary biology, or a related discipline, or equivalent professional expertise.
•
3+ years of relevant research or applied experience.
•
Experience analyzing ecological or evolutionary data.
•
Fluent English, with strong written communication skills.
Preferred qualifications
Experience with R, Python, GIS, population modeling, phylogenetics, or conservation planning.