Will Robots Replace Data Labeller / Content Indexer?
The Geppetto Robot Impact Score for the Data Labeller / Content Indexer role is 55/100 (high risk band). This is a composite research estimate of automation exposure across the occupation — not a prediction about any individual job.
Automation risk 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 risk estimates (20%), and robot density for the role (15%). Scores describe occupation-level exposure and are estimates, not forecasts.