Ecology & Evolution Expert (ALE)
Remote in 78 countries
Andorra, Antigua and Barbuda, Albania, Argentina, Austria, Bosnia and Herzegovina, Barbados, Belgium, Bulgaria, Bolivia, Brazil, Bahamas, Belarus, Belize, Switzerland, Chile, Colombia, Costa Rica, Cuba, Cyprus, Czechia, Germany, Denmark, Dominica, Dominican Republic, Ecuador, Estonia, Spain, Finland, France, United Kingdom, Grenada, Greece, Guatemala, Guyana, Honduras, Croatia, Haiti, Hungary, Ireland, Iceland, Italy, Jamaica, St. Kitts and Nevis, St. Lucia, Liechtenstein, Lithuania, Luxembourg, Latvia, Monaco, Moldova, Montenegro, North Macedonia, Malta, Mexico, Nicaragua, Netherlands, Norway, Panama, Peru, Poland, Portugal, Paraguay, Romania, Serbia, Russia, Sweden, Slovenia, Slovakia, San Marino, Suriname, El Salvador, Trinidad and Tobago, Ukraine, Uruguay, Vatican City, St. Vincent and Grenadines, Venezuela
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About the role
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
- Design tasks involving biodiversity, population dynamics, conservation, evolutionary processes, or ecological interactions.
- Develop reference solutions with explicit assumptions, analytical methods, and evidence.
- Evaluate agents using ecological datasets, spatial tools, statistical software, or phylogenetic resources.
- Define evaluation criteria for scientific reasoning, reproducibility, and interpretation.
- 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.
Where you can work
This role is 100% remote, for applicants located in these 78 countries: Andorra, Antigua and Barbuda, Albania, Argentina, Austria, Bosnia and Herzegovina, Barbados, Belgium, Bulgaria, Bolivia, Brazil, Bahamas, Belarus, Belize, Switzerland, Chile, Colombia, Costa Rica, Cuba, Cyprus, Czechia, Germany, Denmark, Dominica, Dominican Republic, Ecuador, Estonia, Spain, Finland, France, United Kingdom, Grenada, Greece, Guatemala, Guyana, Honduras, Croatia, Haiti, Hungary, Ireland, Iceland, Italy, Jamaica, St. Kitts and Nevis, St. Lucia, Liechtenstein, Lithuania, Luxembourg, Latvia, Monaco, Moldova, Montenegro, North Macedonia, Malta, Mexico, Nicaragua, Netherlands, Norway, Panama, Peru, Poland, Portugal, Paraguay, Romania, Serbia, Russia, Sweden, Slovenia, Slovakia, San Marino, Suriname, El Salvador, Trinidad and Tobago, Ukraine, Uruguay, Vatican City, St. Vincent and Grenadines and Venezuela.
From Anyone AI's job posting, checked Oct 23, 2026.
The application
Your details, CV and LinkedIn, then 5 questions.
- 1.Which programming language (or library) would you like to use for your interview?Pick one (9 options) · optional
- 2.What is your domain expertise?Pick one (33 options) · optional
- 3.What is your expected hourly rate (USD) for working on a remote project?Pick one (8 options) · optional
- 4.How many years of experience do you have in debt collection?Number · optional
- 5.Do you have experience in sales?Yes or no · optional
From Anyone AI's apply page, checked Oct 23, 2026.
About Anyone AI
Hourly expert contracts (STEM, software, quant finance) for AI lab projects, from a Latin American AI training company.
How it pays: Not published. Software roles are paid per project (hourly rates are estimates); no payout method or schedule is stated.
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