Human QA for AI work

Hire a human to check AI-generated work.

Fact-checking, citation verification, RAG groundedness review, website QA, support-reply and product-copy review, and AI-agent audits, each scoped as a small paid task that returns an evidence-backed report. Requests go through a manual concierge pilot: an operator scopes the review and you approve the quote before any reviewer starts. No checkout or job is created automatically.

Request managed QA pilotCreate a QA brief
How requests work
Manual concierge pilot with quote approval
Deliverable
Pass, revise, or high-risk report with evidence
Suggested budgets
$15 to $500 per task, by scope

Review services

Each page explains what the reviewer checks, what you receive, and a suggested budget.

AI blog post fact-checkClaims labeled verified, questionable, or incorrect, with source notes and corrected wording. Suggested $25–$150 per document.AI citation and source verificationEvery link opened and checked against the claim it is supposed to support. Suggested $15–$75 per pass.RAG answer groundedness reviewAnswers compared with the retrieved sources; unsupported claims and citation mismatches listed. Suggested $50–$500 per batch.AI support reply QADrafted customer replies checked for accuracy, tone, policy fit, and escalation risk. Suggested $25–$100 per batch.AI product content QAProduct, comparison, and landing-page copy checked for wrong facts and unsupported claims. Suggested $25–$150 per batch.AI-built website QAA person tests the site or flow on a phone and a desktop and returns screenshots with severity notes. Suggested $25–$200 per site or flow.AI-agent work auditAgent output, context, and logs reviewed before a human approves the action. Suggested $25–$250 per audit.AI data cleanup reviewLabels, duplicates, categories, and ambiguous rows checked after an AI cleanup pass. Suggested $15–$75 per sample.

Guides

Short references for deciding when and how to add a human check.

Hire human AI QA reviewersThe buyer overview: what reviewers check, what you receive, and the best first tasks.AI output verification checklistA five-point checklist to run yourself or paste into a review request.Human-in-the-loop AI quality controlHow to route exceptions and samples from an AI workflow to a person.

How the managed pilot works

Four steps from AI output to an accepted review.

  1. Pick the review type

    Use a fixed service above, or generate a brief for the exact AI output you need checked.

  2. Send the request

    Email the AI output, the sources or policy it should match, acceptance criteria, deadline, and budget. No checkout or job is created automatically.

  3. Approve the plan

    An operator returns a scoped review plan, reviewer profile, and quote. Nothing starts until you approve it.

  4. Receive the evidence

    The reviewer returns pass, revise, or high-risk status, issues by severity, source links or screenshots, corrections, and confidence notes.

Buyer tools

AI QA buyer brief generatorPaste the AI output and context, pick a review type, and copy or email a complete brief.Managed AI QA brief generatorThe same brief builder with the fixed review types and budget bands used by the pilot.Service menu and suggested budgetsAll review types on one page with suggested budgets and links.Sample deliverablesSynthetic report excerpts showing the evidence a reviewer returns for each service.AI QA report templateThe five sections a review report should contain.Scope and trust policyWhat reviewers and buyers provide, and what a human review does not promise.

For reviewers

Become an AI QA reviewerWhich skills fit the work and how to list a first AI QA service.Service listing templatesFive starter descriptions for AI QA services.Reviewer badgesThe proposed qualification framework by task type.

Positioning. GoHireHumans is a listing and payment connector for structured human review. The managed AI QA pilot is manual concierge intake: no self-serve checkout, no automatic job publishing, and no promise of a particular review outcome. Reviewers are independent workers; the report is their evidence and recommendation.

Send one AI output for a human check.

Email the output and the sources it should match. An operator scopes the review and you approve the quote before anyone starts.

Request managed QA pilotSee sample deliverables