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Temporary/CasualOther

Ecology & Evolution Expert (ALE)

Anyone AiUnited Kingdom🇬🇧United Kingdom

Why this role stands out

Advance your career at the intersection of cutting-edge AI and biological research with this unique opportunity to shape how intelligent agents interpret complex ecological systems. You will thrive in this role if you are a detail-oriented scientist eager to apply your expertise in a flexible, remote environment that offers highly competitive compensation of up to $80 per hour. Apply today to contribute your specialized knowledge to groundbreaking projects that push the boundaries of scientific discovery.

Quick overview

Salary$80/hr
SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationUnited Kingdom, United Kingdom
GISPython

Job description

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.

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