I will do data entry, data labeling, product categorization and data annotation
Database architecture and Python bug fixing
À propos de ce service
I categorize or tag large sets of rows: products, support tickets, transactions, survey answers, job posts, anything with a category you can define.
You give me the rows and the categories. If you do not have categories yet, I propose a set from a sample and you approve it before the run.
What you get
- Your file back with a category on every row
- An UNCLEAR bucket. Rows the rules cannot resolve get flagged, not guessed
- A verification sample: 100 rows I checked by hand, with the disagreement count stated
How it runs
Machine-assisted and hand-checked. Deterministic rules first, a model only where rules cannot decide, and a human pass over the sample before delivery. You get the error rate stated instead of hidden.
Standard adds a second pass over everything marked UNCLEAR.
Premium adds the rule set written down, so you can run the next batch without me.
I do not
- Invent categories you did not approve
- Silently guess a row to make the output look complete
- Deliver without the sample
No category list and no sample file, no start.
Technique:
Automatisé(e)
Type d'identification:
Texte
FAQ
What if my categories overlap?
Tell me which ones. Ambiguous rows go to UNCLEAR rather than me picking for you.
Is this AI?
Yes. Machine-assisted and hand-checked: rules first, a model only where rules cannot decide, and a human pass on the sample. I state it rather than hide it.
What file types?
CSV, XLSX, Google Sheets, JSON.
Can I see accuracy before ordering?
Send 100 rows. I categorize them free and you judge.
What about data I cannot share?
Redact first. I only need the field being classified.

