Computational Linguist
Impact: Technological, Societal
Applies computational methods to analyze and synthesize human language, developing software for natural language processing (NLP), machine translation, speech recognition, and information retrieval. Works on algorithms and models that enable computers to understand, interpret, and generate human language.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- Team-oriented
- Client facing
- Rarely
- Impact visibility
- High
- Travel
- Low
- Schedule flexibility
- Flexible
- Remote work
- Mostly Remote
- Typical work hours
- 40 hours per week
- Stress level
- Moderate
At a glance
- Median salary
- $115,000
- Entry-level
- $80,000
- Senior
- $160,000
- Growth by 2033
- 15%
- Demand
- Growing
- Freelance potential
- Moderate
- Salary growth potential
- Excellent
- Typical student debt
- $50,000 - $100,000
Skills you'll use
Hard skills
- Natural Language Processing (NLP)
- Python
- Machine Learning
- Linguistics
- Data Analysis
- Deep Learning
- Text Mining
Soft skills
- Problem-solving
- Critical Thinking
- Communication
- Attention to Detail
- Adaptability
Technical complexity: Very High
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 5
- Years to senior
- 10
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Junior Computational Linguist
- Senior Computational Linguist
- Lead/Manager
- Research Scientist/Architect
Future outlook
- Automation probability
- Low
- AI disruption risk
- Low
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 4/10
- Meaning
- 4/10
- Work-life balance
- 3.5/10
- Prestige
- 8.5/10
- Social perception
- High