Apply your conservation science background in a Handshake AI fellowship focused on model quality and annotation work.
Apply your conservation science background in a Handshake AI fellowship focused on model quality and annotation work. Handshake AI uses conservation science judgment to improve how models handle realistic professional tasks.
Scientific, analytical, and research-heavy roles for domain experts across STEM and technical knowledge work.
We review domain depth, writing quality, and remote execution readiness before routing applicants into the final review queue.
Comp band stays visible through routing and review.
Built for remote specialist delivery from the start.
Aligned to the AuraOne specialist network.
AuraOne uses a shared intake to confirm track fit, review readiness, and the best queue for your specialist profile.
Use the role detail page to confirm track, comp band, and remote fit.
One specialist application captures your background, availability, and evidence.
Qualified applicants move into the right specialist queue for final matching.
This role belongs to the Science & Research track, so reviewers prioritize domain fluency, structured judgment, and the ability to operate asynchronously.
If this role is close but not perfect, keep momentum by scanning adjacent openings in the same specialist lane.
Structured AI research work through a recurring expert fellowship.
Structured AI research work through a recurring expert fellowship. This role turns domain judgment into feedback that helps...
Structured AI research work through a recurring expert fellowship.
Structured AI research work through a recurring expert fellowship. This role turns domain judgment into feedback that helps...
Flexible expert work focused on structured review, labeling, and data quality.
Flexible expert work focused on structured review, labeling, and data quality. Clean labels and consistent QA make...