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NLP Engineer Roadmap

[roadmap]

Build systems that process and understand text at a deeper level than API-consumption — classification, NER, and custom language models.

Salary

$105K-$195K (US) / $55K-$115K (remote global)

Estimated Time

12-18 months of focused learning

Job Outlook

Narrower than AI Engineering but stable in domains needing specialized, auditable text models (legal, healthcare, finance).

Progress
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Prerequisites
Python proficiencyStatistics fundamentalsDeep learning basics (neural networks, backpropagation)Comfortable with text data (tokenization, regex)
Market overview

Distinct from AI Engineering: NLP Engineers train and fine-tune models for specific text tasks (classification, extraction, translation) rather than orchestrating calls to a general-purpose foundation model.

The 10,000-hour rule says mastery requires roughly that many hours of deliberate practice. At 1% improvement per day, you are 37x better in a year. This roadmap is a structured path, not a race — follow the steps in order, build the projects, and trust the process.