Systems & digital delivery / Remote
Data-cleaning service
Standardize an authorized dataset and provide a change log with exceptions.
What to price before starting
Check secure tools, storage, backups and the client's data-handling requirements.
Use your own written quotes, including recurring costs and the cash you could lose. Owning equipment does not establish customer demand.
Skills you must be able to demonstrate
Pattern recognition, careful validation and reproducible transformations.
Before the first payment
Agree what may change, what must be preserved and how results will be checked.
Keep the deliverable, exclusions, approvals and payment responsibility in writing. Do not treat a lead, an invoice or a promised reimbursement as money received.
Where this can go wrong
Deduplication can erase distinct records; sensitive data can be mishandled.
Requirements and refusal boundaries
Obtain authorized access and preserve an untouched source copy under agreed retention rules.
Confirm the exact activity with the relevant authority and insurer. The references below explain general issues; they do not approve this individual service in your jurisdiction.
A lower-risk validation step
Clean a fictional dataset and show before-and-after records and unresolved cases.
Set a stop condition before spending: what evidence would make you decline, change scope or stop? A practice sample should never expose another person's confidential material.
Primary checks
- SBA: licenses and permits
Activity and location determine permits; contact the issuing authority.
- IRS: self-employed tax center
US self-employment tax, return and recordkeeping guidance; no tax calculation is supplied here.
References reviewed for this publication in November 2026. Rules can change. This entry contains no earnings estimate and makes no assurance of demand.