Ecology & Evolution Expert (ALE)
Company shown to members 🔒 · Remote · UK, Poland only
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First recorded by Psst: 24 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 3+ years required
- Where you can live
- UK, Poland only
- Languages
- English
- Skills and tools
- python, written communication
- Degree or licence
- Mentioned (degree in)
- Job type
- Contract or freelance
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Job details
- Where you can work
- United Kingdom, Poland
- Employment type
- Contract
- Advertised pay
- $30–80/hr
- Experience
- 3+ years required
- Employer publication date
- 23 October 2026
- First recorded by Psst
- 24 October 2026
- Last checked at the source
- 10 November 2026
About the job
ABOUT THE OPPORTUNITY
The company 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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