Remote Ecology & Evolution Data Scientist

Anyone AI Inc.

United States

Remote

USD 41,000 - 110,000

Full time

5 days ago
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Job summary

Anyone AI Inc. is seeking Ecology & Evolution Experts to create realistic tasks and reference solutions that test AI agents on ecological and evolutionary questions.

You will work remotely with Latin America and Europe-based projects, contributing expert analysis, data-driven evaluation, and robust scientific reasoning. Responsibilities include designing tasks, building reference solutions, and evaluating agents using datasets, tools, and software.

Qualifications

  • 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.

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.

Skills

Fluent English
Strong written communication

Education

Advanced degree in ecology or evolutionary biology

Tools

R
Python
GIS
Population modeling
Phylogenetics

Job description

Anyone AI Inc. is seeking Ecology & Evolution Experts to create realistic tasks and reference solutions that test AI agents on ecological and evolutionary questions.

You will work remotely with Latin America and Europe-based projects, contributing expert analysis, data-driven evaluation, and robust scientific reasoning. Responsibilities include designing tasks, building reference solutions, and evaluating agents using datasets, tools, and software.

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