Ecology & Evolution Expert (ALE)
h3About The Opportunity /h3 pAnyone 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. /p h3Location /h3 pRemote — Latin America and Europe /p h3Engagement /h3 pProject-based with flexible hours /p h3Compensation /h3 pUS$30–US$80 per hour, depending on expertise and project requirements /p h3Responsibilities /h3 ul liDesign tasks involving biodiversity, population dynamics, conservation, evolutionary processes, or ecological interactions. /li liDevelop reference solutions with explicit assumptions, analytical methods, and evidence. /li liEvaluate agents using ecological datasets, spatial tools, statistical software, or phylogenetic resources.
/li liDefine evaluation criteria for scientific reasoning, reproducibility, and interpretation. /li liIdentify sampling bias, inappropriate models, unsupported causal claims, and other methodological errors. /li /ul h3Requirements /h3 ul liAdvanced degree in ecology, evolutionary biology, or a related discipline, or equivalent professional expertise. /li li3+ years of relevant research or applied experience. /li liExperience analyzing ecological or evolutionary data. /li liFluent English, with strong written communication skills. /li /ul h3Preferred Qualifications /h3 pExperience with R, Python, GIS, population modeling, phylogenetics, or conservation planning. /p #J-18808-Ljbffr
/li liDefine evaluation criteria for scientific reasoning, reproducibility, and interpretation. /li liIdentify sampling bias, inappropriate models, unsupported causal claims, and other methodological errors. /li /ul h3Requirements /h3 ul liAdvanced degree in ecology, evolutionary biology, or a related discipline, or equivalent professional expertise. /li li3+ years of relevant research or applied experience. /li liExperience analyzing ecological or evolutionary data. /li liFluent English, with strong written communication skills. /li /ul h3Preferred Qualifications /h3 pExperience with R, Python, GIS, population modeling, phylogenetics, or conservation planning. /p #J-18808-Ljbffr