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AI Trainer Jobs seeks a contractor to review AI outputs in a remote US-eligible role focused on Public Defenders — Paid Research Study. You will assess derivations, reproduce key steps, and document methods for training purposes.
The role requires graduate-level training or equivalent applied experience, strong scientific reasoning, and the ability to apply multi-page rubrics across large batches. Expect at least 10 hours weekly with asynchronous collaboration.
Public Defenders — Paid Research Study is a remote review track for evaluating AI outputs across public defenders paid research study research review reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.
Category: Scientific AI & Domain Experts · Pay: $100 / hr · Location: Remote — US-eligible · Contractor
Public Defenders — Paid Research Study is a remote review track for evaluating AI outputs across public defenders paid research study research review reasoning, calculations, and research workflows.
Public Defenders — Paid Research Study is a remote review track for evaluating AI outputs across public defenders paid research study research review reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.
Public Defenders Paid Research Study research review models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would — checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.
Bring scientific and technical domain expertise into AI reasoning, research, and dataset review.
Track STEM research review Work model Remote · Independent specialist contractor Compensation $100 / hr Eligible from US
$100 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.