Field Ecologist & Wildlife/Fisheries Biologist

You will create research-level problems for AI models using practical knowledge from ecology, wildlife biology, fisheries science, or a related field. Your work will be based on real population data and must be accurate, clear, and well documented.

You will work independently as an individual contractor and manage your time across flexible assignments.

• Write problems grounded in ecology, wildlife biology, fisheries science, or a related field.
• Use field survey, tagging, telemetry, fisheries catch, and age data.
• Explain technical work clearly and keep each contribution accurate and well documented.
• Apply your own experience collecting and analyzing real population data.

What it pays and takes

This is remote contract work for someone with practical population-data experience and the ability to explain technical material in writing.

• Pay: $50 per hour.
• Schedule: Flexible, with no fixed weekly schedule.
• Location: Remote and open to candidates in multiple eligible countries, including the United States, Canada, Australia, and the United Kingdom.
• Language: Fluent English is required.
• Required: Experience collecting and analyzing your own real population data.
• Required: Working knowledge of Python or a similar programming language for survey or telemetry analysis.
• Required: Clear technical writing and the ability to work independently as an individual contractor without visa sponsorship.
• Helpful: A master's or PhD in ecology, wildlife biology, fisheries science, or a related field.
• Helpful: Multiple field seasons and experience with field surveys, mark-recapture, occupancy, or stock assessment models.
• Helpful: Strong R skills, public code, a thesis, technical papers, or experience with data annotation, data labeling, or AI and machine learning evaluation.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human expertise to create and review examples that help artificial intelligence systems improve. People with strong subject knowledge are paid to apply sound judgment, explain their reasoning, and produce reliable training material.