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

United States

I speak English

Database architecture and Python bug fixing

You give me one named bug and a way to reproduce it. I give you back a diff, and the reproduction now passes. You run that check yourself, without me on a call. Since 2011 I have run RedRobot, a stud...
About this Gig

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:

Automated

Tagging type:

Text