Remote Forest
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Alignerr, operating with Labelbox, seeks experienced forestry and land management scientists to shape how AI understands sustainable forestry, land-use planning, and environmental decision-making. You will review scenarios used in AI training datasets and assess content accuracy across forest health and biodiversity topics.
The role is remote, hourly, with * hours per week, offering flexibility for independent contributors and potential ongoing engagements.
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