Ecology & Evolution Expert (ALE)
Anyone Ai · Fully Remote, Uruguay · posted Oct 23, 2026
Open to candidates in 74 countries
Albania, Andorra, Argentina, Armenia, Austria, Belarus, Belgium, Belize, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, Chile, Colombia, Costa Rica, Croatia, Cuba, Cyprus, Czechia, Denmark, Dominican Republic, Ecuador, El Salvador, Estonia, Finland, France, Georgia, Germany, Gibraltar, Greece, Guatemala, Guyana, Haiti, Honduras, Hungary, Iceland, Ireland, Italy, Jamaica, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Mexico, Moldova, Monaco, Montenegro, Netherlands, Nicaragua, North Macedonia, Norway, Panama, Paraguay, Peru, Poland, Portugal, Puerto Rico, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Suriname, Sweden, Switzerland, Trinidad and Tobago, Türkiye, Ukraine, United Kingdom, Uruguay, Venezuela
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What this role actually asks for
Extracted by RemoteHuntMust have
- •Advanced degree in ecology/evolutionary biology or related
- •3+ years of research or applied experience
- •Experience analyzing ecological or evolutionary data
- •Fluent English
Nice to have
- •Experience with R, Python, GIS
- •Population modeling
- •Phylogenetics
- •Conservation planning
Tools and technologies
Languages required
The full posting
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
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Advanced degree in ecology, evolutionary biology, or a related discipline, or equivalent professional expertise.
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3+ years of relevant research or applied experience.
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Experience analyzing ecological or evolutionary data.
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Fluent English, with strong written communication skills.
Preferred qualifications
Experience with R, Python, GIS, population modeling, phylogenetics, or conservation planning.
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