Experimental Design AI Reviewer

AI Trainer Jobs; United States; Remote; USD 55,000 - 76,000; Full time

Job summary

AI Trainer Jobs is seeking an Experimental Design AI Reviewer for a remote, independent contractor role. Reviewers assess AI outputs against workflows, policy, and stakeholder fit, and document next steps for model training.

Responsibilities include grading tone and escalation, flagging policy-adherence gaps, and ensuring timely, clear written reasoning. Part-time, hourly engagement with program-defined tasks and pacing.

Qualifications

• Direct working experience in experimental design AI reviewer operations on real teams.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming the policy or workflow applied.
• Attention to detail and ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current experimental design AI reviewer workflows, playbooks, and firm policy for 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.

Skills

Experimental design

AI operations

Attention to detail

Policy adherence

Rubric writing

Stakeholder communication

Async communication

Bilingual experience

Tools

AI evaluation tools

Job description

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.