Will Robots Replace Data Labeller / Content Indexer?
Data Labeller / Content Indexer has a Robot Impact Score of 55 out of 100 on the Geppetto Jobs Index, placing it in the High impact band. 2 commercial robots currently target this work, and the displacement timeline is near term. This is a category-level research estimate describing automation exposure for the occupation, not a prediction about any individual person's job.
Automation impact breakdown
| Composite impact score | 55/100 |
|---|---|
| Risk band (OECD) | High |
| Oxford (Frey & Osborne) score | 97/100 |
| IFR deployment score | 1/10 |
| Timeline | Near Term |
| Impact type | Full Displacement |
| Sector | Creative |
| Median annual salary (US) | $39,770 (BLS OES 2024) |
| Current global employment | 193,815 |
| O*NET code | 43-9021.00 |
| Robots tracked for this role | 2 |
How this score is calculated
The composite Robot Impact Score weights O*NET task data (35%), IFR robot deployment figures (30%), Oxford and OECD academic estimates (20%), and robot density for the role (15%). Scores describe occupation-level exposure and are estimates, not forecasts.