Data cleanup
Have a human clean and review your spreadsheet.
Post a bounded cleanup task: a person deduplicates, fills gaps, tags rows against your rules, and flags what they could not resolve, returning the sheet plus a change log. For lead lists specifically, see lead research with human verification.
- Starter budget
- $40, editable before you publish
- Deliverable
- Cleaned sheet, change log, unresolved rows
- Scope
- Up to 500 rows
Good tasks to post
Keep each task to one of these so it can be priced and approved quickly.
- Deduplicate records
- Fill missing fields
- Tag rows against rules
- Flag uncertain entries
Why humans help
Where judgment beats automation for this task.
Human cleanup is strongest where ambiguity matters and automation needs a second pass: two records that are the same company under different names, a field that is blank because the answer is genuinely unknown, or a tag rule with an exception your script never saw.
How to scope it
Four things to include so the first task is easy to approve.
One clear goal
Say what the worker is checking and what counts as wrong. One URL, one document, one list.
Source material or links
Attach the exact inputs: the page, the file, the transcript, the criteria.
Deliverable and deadline
Name the format you want back (table, notes, screenshots) and when you need it.
An example of acceptable work
Link a sample deliverable so the worker knows the bar. Keep the first task small so approval is straightforward.
Suggested payout ranges
Starting points only. Final payouts should match complexity, turnaround, tools, and worker experience.
| Scope | Suggested payout |
|---|---|
| Up to 200 rows, simple rules | $30–$50 |
| Up to 1,000 rows with enrichment | $50–$150 |
| Recurring monthly cleanup | $150+ |
Related use cases
Neighbouring templates, each with a different scope.
Send the messy sheet and get back a clean one with a change log.
The draft opens with a $40 starter budget and the description above. Attach the sheet and your rules, then publish. Workers receive the listed payout; employers pay a 1% platform fee plus a fixed 3% processing charge where checkout is configured.