Will AI replace data labeling specialists?

This role is at extreme risk as AI systems are increasingly being used to train other AI systems (self-supervised learning). The need for human-in-the-loop labeling will plummet as synthetic data becomes more viable.

Data Labeling Specialist scores 90/100 — This career is highly exposed to AI automation. Roughly 95% of the tasks in this role could be automated with current and near-future AI.

The US median salary for a data labeling specialist is about $42,000 per year, with projected employment growth of -15% over the next decade (declining).

Drawing boxes around common objects like cars or pedestrians in images. Transcribing clear, high-quality audio recordings into text. Tagging parts of speech in standard, grammatically correct sentences. Sorting images into simple categories like 'indoor' vs 'outdoor'.

Data Labeling Specialist has a high AI risk score (90/100) and a -15% 10-year outlook. Compare it with your current job or use the salary calculator to see how a switch would affect your pay.

AI can speed up routine data labeling specialist tasks like Drawing boxes around common objects like cars or pedestrians in images. and Transcribing clear, high-quality audio recordings into text.. The most resilient workers learn to direct these tools while focusing on the human judgment, creativity and physical work that AI can't easily replicate.