AI output review

Hire a human to review AI output before it reaches customers.

Turn risky AI-generated content into one bounded review task with clear inputs, a payout, and acceptance criteria. This is the structured review: an issue table by severity and a ready, revise, or do-not-publish call. For a quick single-document fact-check, see AI output fact checking.

Starter budget
$99, editable before you publish
Deliverable
Issue table by severity plus a final recommendation
Template
Have a human QA AI-generated output

Good tasks to post

Three ways to scope this task so it can be priced, completed, and reviewed.

Fact-check an AI article

Have a reviewer label unsupported claims, broken sources, and facts that need correction.

Review support replies

Ask a human to check AI-drafted customer replies for tone, policy fit, and escalation risk.

Score AI research output

Get a human to compare AI summaries against source links and return issues by severity.

AI-output review proof pack

Ask for the proof pack when the output is customer-facing. It is the deliverable format the starter offer uses.

  • Claim and risk table with source links.
  • Unsupported-claim flags with safer rewrite suggestions.
  • Final recommendation: ready, revise, or do not publish.

What to include in the listing

Three things every good listing states before a worker applies.

  1. Inputs

    Add the exact URL, document, spreadsheet, prompt output, or source list workers should inspect.

  2. Deliverable

    Ask for a concise report with screenshots, links, notes, priority labels, or spreadsheet columns.

  3. Acceptance criteria

    State what complete work looks like, what not to do, and whether private data or off-platform contact is prohibited.

Get a ready-or-revise call before you publish.

The task form opens with the AI review template and a $99 starter budget. Attach the output, adjust the budget, then publish. Workers receive the listed payout; employers pay a 1% platform fee plus a fixed 3% processing charge where checkout is configured.