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Nairobi · KenyaFree to read
Arts & Humanities

Computational Linguist

Develops computational models of human language for NLP applications. Works on machine translation, speech recognition and language models for African languages, a critical gap in current AI systems.

AI exposure
36 of 100, low exposure
Hiring trend
Rising
Hiring rate
50%

The role

What the work is, what it pays, and what it costs you.

At a glance

Remote friendly
Yes
Freelance potential
Medium
Time to senior
7 years
Adaptation level
Moderate

A day in the role

Annotates a Kiswahili corpus for part-of-speech tagging, trains a morphological analyser, evaluates machine translation output quality, and writes a paper on low-resource NLP for African languages.

What it pays

Kenyan market, per month
Entry
KES 100,000-160,000
Mid
KES 200,000-350,000
Senior
KES 400,000-700,000

Exposure

How much of this a machine can already do, and how that was worked out.

Where this rating sits

1,516 rated careers
36
lowmoderatehigh
020406080100

Rated above 38% of the 1,516 careers in the catalogue, which averages 43. Inside arts & humanities the mean is 50, across 84 careers.

What the rating is made of

Share of recorded tasks
Machine does it
25%Software can already complete this work end to end.
Machine assists
50%A person still decides, but the drafting is done for them.
Person does it
25%Judgement, relationships and accountability that do not transfer.

Named task by task

Already automated

  • Training language models
  • Automating morphological analysis
  • Generating synthetic training data
  • Running machine translation pipelines

Still human

  • Designing linguistic annotations
  • Evaluating model quality for African languages
  • Curating language corpora
  • Collaborating with native speakers
  • Publishing research findings

Getting in

The routes into the role and what each one asks for.

What to study

8 courses

How people get in

  • Linguistics or CS degree

    4 yearsHigh cost

    BA Linguistics or BSc CS from UoN, KU or JKUAT

  • NLP specialisation

    1-2 yearsMedium cost

    NLP courses plus African language NLP projects

Who hires

  • Google Africa
  • Microsoft Africa
  • Andela
  • Masakhane
  • Lelapa AI

Common misconceptions

  • Computational linguistics is just programming

    It requires deep understanding of linguistic theory — phonology, morphology, syntax — to build effective language models.

  • African languages dont need NLP

    Over 2,000 African languages lack NLP support, creating huge opportunities for local computational linguists.

What happens next

How the role changes from here, and where it leads.

Supply and demand

Demand
50
Supply pressure
15
Balance
High demand

What to learn

  • NLP frameworks
  • African language corpora
  • Model evaluation

Kenyan market notes

There is a massive gap in NLP for African languages. Initiatives like Masakhane are building African NLP capacity. Companies like Google Africa and Lelapa AI are hiring computational linguists for African language projects.

Further reading

Keep this

This role is rated 36 out of 100 today. Save it and the app keeps that number, then tells you by how much it has moved when the record is next reviewed.