Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Field Ecologist & Wildlife/Fisheries Biologist
Remote (Global)
$50/hr
November 11, 2026
Job description
Use your hands-on experience in ecology, wildlife biology, fisheries science or a related field to write research-level problems for AI models. Remote, flexible contract work.
AfterQuery works with leading AI labs to build the expert data that tests and trains AI models. We're looking for field ecologists and wildlife and fisheries biologists who work with real population data: the surveys, tagging and telemetry work, and fisheries catch and age data you have collected and analyzed.
Requirements
- Technical: Working knowledge of Python (R is a plus) for analyzing your own survey and telemetry data.
Preferred
- Background: a Master's or PhD degree with multiple field seasons; agency scientists and postdocs are a strong fit.
- Hands-on work with real data, rather than desk-only GIS or policy roles, or theory-only ecology.
Contract and pay
Flexible, independent-contractor work: $300 per approved task, about 6 hours each (roughly $50 per hour), with no cap on how many tasks you take on.
All accepted experts undergo standard background and identity verification.
Required qualifications
- Hands-on experience working with your own real population data in Python or a similar language
- Able to write clearly about technical work in your field
- Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule
Why apply
- $300 per approved task (roughly $50 per hour)
- Fully remote and flexible, with no fixed weekly schedule
Apply now
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Use your hands-on experience in biology, biochemistry, plant science or a related field to write research-level problems for AI models. Remote, flexible contract work. AfterQuery works with leading AI labs to build the expert data that tests and trains AI models.
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