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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 10-40 hours per week, offering flexibility for independent contributors and potential ongoing engagements.
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 10-40 hours per week, offering flexibility for independent contributors and potential ongoing engagements.