I will do data entry, data labeling, product categorization and data annotation

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.