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AI agent skills by role·Template

AI agent reviewer job description template

An AI agent reviewer job description template for hiring or redeploying staff to review held actions: duties, skills, certification and a sample.

An AI agent reviewer decides the actions an agent has drafted but may not take alone: approving, editing or refusing each one with a written reason. This job description template covers purpose, duties, decision limits, skills, certification and how performance is measured, and works both for hiring new reviewers and for redeploying experienced staff into the role.

When should you use this template?

Use it in two situations. The first is hiring: an organisation scaling its agents needs people whose main job is the held queue. The second, and more common, is redeployment: an experienced claims handler, payments analyst or support adviser moves from doing the work to reviewing the agent that now does much of it. The template makes clear that this is a change of role, with different skills, not just a lighter version of the old job.

It also helps on the agent side. If you build agents from a plain-language description of the work, as in how to build an AI agent from a plain-language job description, the reviewer's description is the other half: what the agent drafts, and what the person decides. The wider question of how roles shift is covered in how job descriptions change when AI agents do part of the work.

How do you fill it in?

  • Be specific about the queue. Name the agent, its capabilities and their depth. A reviewer of depth 2 drafts has a different job from a reviewer of depth 4 payments.
  • State the limits. Reviewers approve within limits; anything above goes to a named person.
  • Name the red lines. List what the reviewer must never approve, whatever the pressure.
  • Make certification a condition. If approval rights depend on a current certificate, say so, and say what happens when it expires.
  • Describe how learning happens. Most reviewer skill is built in the live queue under supervision, which is on-the-job training in its plainest form.

The template

  1. Job title: e.g. Agent reviewer, [team].
  2. Reports to: team lead or operations manager.
  3. Purpose: one sentence. "Decides the held actions drafted by [agent], so that each action that goes ahead is one a person has judged correct."
  4. The agent and its queue: agent name, capabilities reviewed, depth of each, typical daily volume.
  5. Main duties: - Decide held actions: approve, edit and approve, or refuse, each with a written reason. - Read the verdict and identify which bound held the action. - Check the provenance of the facts the agent relied on. - Escalate anything above limit or outside scope to the named person. - Log corrections so the agent's owner can improve its brief. - Take part in calibration sessions with other reviewers.
  6. Decision limits: the value or type of action the reviewer may approve.
  7. Red lines: actions never approved by this role.
  8. Skills required: the four verdicts and depth; provenance classes; writing clear reasons; knowledge of the process being reviewed.
  9. Certification: required credential, by when, and renewal.
  10. How performance is measured: decision accuracy on sampled cases, missed red lines (target none), quality of reasons, calibration results.
  11. What this role does not do: build or change the agent; approve its own escalations.

A worked example

A redeployed claims handler at a hypothetical motor insurer. Values are illustrative.

  1. Job title: Agent reviewer, motor claims.
  2. Reports to: Claims team lead.
  3. Purpose: Decides held claim payments and declines drafted by the claims agent.
  4. Queue: Claims intake agent; reads at depth 1, drafts settlement offers at depth 2, pays small glass claims at depth 4; around 120 held items a day across the team.
  5. Duties: as above, plus checking repair estimates against approved garages.
  6. Limits: approves settlements up to 5,000; above that to a senior handler.
  7. Red lines: no payment to a bank account supplied only by email; no decline without a reason tied to the policy wording.
  8. Skills: five years in motor claims; provenance and verdicts learned in the first month.
  9. Certification: a reviewer certificate within three months of starting, valid 12 months.
  10. Measures: weekly sample of 20 decisions re-marked by the team lead.
  11. Does not: change the agent's bounds or sources; those go to the agent owner.

Item 11 links to the owner's role, set out in the AI agent owner role description template. Keeping the two apart stops a reviewer from widening the agent they are meant to check.

Where the Academy fits

Pryme Intelligence Academy's Operator track is designed for this role. It runs about 14 hours plus a two-week practicum of real review decisions, which must be at least 95 in every 100 correct with no missed red line, signed off by a Pryme assessor. The written exam is 40 questions in 60 minutes, with a pass mark of 32. Certified Pryme Operator is valid for 12 months.

Questions people ask

Should reviewers come from the team that did the work before?

Usually, yes. They know what a good outcome looks like and can spot what the agent misses. They need new skills in reading verdicts and provenance, but their process knowledge is hard to replace.

How many reviewers does an agent need?

Enough that the queue never depends on one person. At least two certified reviewers per capability, more if held volume rises when the agent's certificate lapses. The skills behind the role are in AI agent skills by role.

Is a reviewer the same as an agent owner?

No. The owner answers for the agent as a whole; the reviewer decides individual actions. The guide to writing an AI agent owner's job description covers the other role.

Train the people who run your agents.

Pryme Intelligence Academy: free courses on the real product, audio lessons, labs in a free workspace, and certificates anyone can check on VerifyDoc.ai. Teams get seats, an admin view and a free readiness assessment.