Will AI replace speech recognition engineers?

This role faces high risk as Large Language Models (LLMs) and foundation models now handle speech-to-text with extreme accuracy. The job will shift from building models to fine-tuning them for specific accents or industries.

Speech Recognition Engineer scores 55/100 — Parts of this job will change — adaptation matters. Roughly 70% of the tasks in this role could be automated with current and near-future AI.

The US median salary for a speech recognition engineer is about $138,000 per year, with projected employment growth of +15% over the next decade (much faster than average).

Creating basic phonetic transcriptions for training data. Training acoustic models for standard, high-resource languages. Optimizing latency for simple voice-command interfaces. Filtering noise from audio recordings before processing.

Speech Recognition Engineer has a moderate AI risk score (55/100) 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 speech recognition engineer tasks like Creating basic phonetic transcriptions for training data. and Training acoustic models for standard, high-resource languages.. 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.