Experimental Design AI Reviewer

About the role Experimental Design AI Reviewer is a remote review track for evaluating AI outputs across experimental design ai specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it. Experimental Design AI specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done. Judge tool-use tasks and enterprise agent behavior. Operational judgment is the skill. Responsibilities Review AI outputs against current experimental design ai specialist operations workflows, playbooks, and firm policy for Experimental Design AI Reviewer assignments. Grade tone, escalation logic, and stakeholder fit on a structured rubric. Flag operational risk, missed escalations, and policy-adherence gaps with severity tags. Capture the right next step so the modeling team can train on it. Role details Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US What you should bring Direct working experience in experimental design ai specialist operations on real teams for Experimental Design AI Reviewer work. Comfort applying multi-page rubrics consistently across long batches. Clear written reasoning that names the policy or workflow being applied. Strong attention to detail and the ability to flag when a prompt itself is the problem. Reliable async availability for at least 10 hours per week. Role signals Example tasks Grade a model's response to a real experimental design ai specialist operations ticket and rate workflow, tone, and escalation. Flag a missed escalation with the right severity tag and corrected next step. Adjudicate a disputed playbook call between two reviewers using firm guidance. Audit a 25-row batch for rubric consistency and report drift to the program lead. Useful experience Prior experience training, calibrating, or QA‑ing operations teams. Familiarity with AI‑assisted workflow tooling and its failure modes. Bilingual experience for cross‑region operations. Compensation and schedule Hourly rate confirmed after the interview process. Expected arrangement: contractor , with program‑defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation. Skills used in matching Operational review Policy adherence Workflow judgment Stakeholder communication Experimental Design AI specialist operations Science and advanced mathematics AI evaluation Rubric writing Expert review Application boundary Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record. Specialist intake The intake preserves your chosen role, the visible terms, and source attribution for reviewer context. 01 Confirm profile and eligibility details. 02 Attach this role deliberately. 03 Receive a human review decision or follow-up. Placement timing depends on program demand and reviewer confirmation. #J-18808-Ljbffr AI Trainer Jobs