Nestorbot
Science & ResearchISCO 2152

Language engineer

A language engineer is a person who uses programming to improve machine translation and bring it closer to what a careful human translator produces.

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Rate 5 of the 19 essential skills of this occupation (European ESCO data). No account needed.

apply statistical analysis techniques

perform scientific research

use technical drawing software

manage engineering project

follow translation quality standards

About language engineer

The work sits in computer science, in the field of natural language processing. The language engineer analyses texts, compares machine output against a reference translation and aligns the two sentence by sentence, then looks in the code for where the difference arises: in segmentation, in a lexicon, in an inflection rule, in the model. The engineer draws on computational linguistics, the knowledge of how to describe a language so that a program can process it.

The engineer applies statistical analysis techniques to check whether a change to the program actually improves the translation. Translation technologies are assessed — engines, translation memories and computer-assisted tools — and the engineer says which of them suits a given language and a given kind of text.

The output has to meet translation quality standards, so the engineer interprets the technical requirements of a commission and turns them into criteria that can actually be checked. Programming is part of a language engineering career, and formal requirements are set by the employer.

Key Work Functions

Core areas of responsibility for a language engineer.

1

Natural Language Processing Development

  • Develop and implement natural language processing algorithms and models
  • Parse and analyze textual data to extract linguistic features and patterns
  • Apply machine learning and artificial intelligence principles to language processing tasks
  • Optimize NLP models for performance, accuracy, and scalability
2

Machine Translation Engineering

  • Develop and improve machine translation systems and engines
  • Compare and map translations between source and target languages
  • Improve linguistic quality of translations through algorithm refinement and code development
  • Follow and implement translation quality standards and evaluation metrics
3

Software Development and Programming

  • Write clean, efficient code in multiple programming languages for language processing applications
  • Develop code exploits and solutions to resolve translation technology challenges
  • Manage engineering projects and coordinate with cross-functional teams
4

Requirements Analysis and Technical Specification

  • Interpret technical requirements and specifications from stakeholders
  • Define clear technical requirements for translation technology projects
  • Evaluate existing translation technologies and identify improvement opportunities
5

Research and Analysis

  • Perform scientific research to advance the field of computational linguistics
  • Apply statistical analysis techniques to evaluate translation model performance
  • Use technical drawing software and documentation to visualize system architecture

Key skills in this occupation

Essential skills and knowledge areas from the European ESCO classification, 19 in total. The ones most specific to this occupation come first.

  1. apply statistical analysis techniques

    Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.

    practical skill
  2. perform scientific research

    Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.

    practical skill
  3. use technical drawing software

    Create technical designs and technical drawings using specialised software.

    practical skill
  4. manage engineering project

    Manage engineering project resources, budget, deadlines, and human resources, and plan schedules as well as any technical activities pertinent to the project.

    practical skill
  5. follow translation quality standards

    Comply with agreed standards, such as the European standard EN 15038 and the ISO 17100, to ensure that requirements for language-service providers are met and to guarantee uniformity.

    practical skill
  6. develop code exploits

    Create and test software exploits in a controlled environment to uncover and check system bugs or vulnerabilities.

    practical skill
  7. interpret technical requirements

    Analyse, understand and apply the information provided regarding technical conditions.

    practical skill
  8. define technical requirements

    Specify technical properties of goods, materials, methods, processes, services, systems, software and functionalities by identifying and responding to the particular needs that are to be satisfied according to customer…

    practical skill

Check which of these skills you already have ↑

Knowledge (10)

engineering principles
The engineering elements like functionality, replicability, and costs in relation to the design and how they are applied in the completion of engineering projects. More →
modern languages
All human languages still actively used today. More →
machine translation
The computing field that researches the use of software for translating text or speech from one language to another. More →
algorithms
The self-contained step-by-step sets of operations that carry out calculations, data processing and automated reasoning, usually to solve problems. More →
technical drawings
Drawing software and the various symbols, perspectives, units of measurement, notation systems, visual styles and page layouts used in technical drawings. More →
project management
The discipline of project management, the activities which comprise this area and the variables implied in it, such as time, resources, requirements, deadlines, and responding to unexpected events. More →
task algorithmisation
The techniques to convert unstructured descriptions of a process into step-by-step sequence of actions of a finite number of steps. More →
computational linguistics
The computer science field that researches the modelling of natural languages into computational and programming languages. More →
principles of artificial intelligence
The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition… More →
natural language processing
The technologies which enable ICT devices to understand and interact with users through human language. More →

Practical skills (1)

evaluate translation technologies
Use technologies for translation and provide observations on their use for defined purposes. More →
Optional skills (21) — show
information structure
The type of infrastructure which defines the format of data: semi-structured, unstructured and structured. More →
screen reader
Software program which converts screen elements such as text, images, or buttons, displayed in the computer into Braille or speech. More →
cognitive psychology
The human mental processes such as attention, memory, language use, perception, problem solving, creativity and thinking. More →
linguistics
The scientific study of language and its three aspects, language form, language meaning, and language in context. More →
terminology
The study of terms, their etymology, and their use. More →
probability theory
The branch of mathematics concerned with the analysis of random phenomena. More →
grammar
The set of structural rules governing the composition of clauses, phrases, and words in any given natural language. More →
semantics
The branch of linguistics that studies meaning; it analyses of words, phrases, signs, and symbols and the relation between them. More →
develop translation memory software
Develop and improve translation memory software for retrieving equivalent target texts in existing databases when translating from one language to another. More →
speak different languages
Master foreign languages to be able to communicate in one or more foreign languages. More →
use word processing software
Use computer software applications for composition, editing, formatting, and printing of any sort of written material. More →
use computer-aided translation
Operate computer-aided translation (CAT) software to facilitate the language translation processes. More →
apply grammar and spelling rules
Apply the rules of spelling and grammar and ensure consistency throughout texts. More →
conduct search engine optimisation
Execute optimal marketing research and strategies on search engine processes, also known as search engine marketing (SEM), in order to increase online traffic and website exposure. More →
manage localisation
Modify content or a product for the transference from one locale to another through the use of content translation or localisation service providers. More →
use dictionaries
Use glossaries and dictionaries to search for the meaning, the spelling, and synonyms of words. More →
use translation memory software
Facilitate efficient language translation using translation memory software. More →
update language skills
Research or practice language skills to stay current with language changes in order to best translate or interpret. More →
translate language concepts
Translate one language into another language. More →
manage ICT semantic integration
Oversee integration of public or internal databases and other data, by using semantic technologies to produce structured semantic output. More →
speech recognition
The development in the computing field where voice can be recognised by machines and present the results of the spoken fragment or command. More →

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Frequently asked questions

What does a language engineer do?

Language engineers work within the field of computing science, and more specifically in the field of natural language processing. They aim to close the gap in translation between accurate human translations to machine-operated translators. They parse texts, compare and map translations, and improve the linguistics of translations through programming and code.

What skills does a language engineer need?

A language engineer needs 19 essential skills, including engineering principles, modern languages, machine translation, algorithms, technical drawings.

Will AI replace language engineer jobs?

The AI disruption score for language engineer is 85/100 (very high risk). Skills most exposed to automation: apply grammar and spelling rules, use dictionaries, grammar. Most resilient: cognitive psychology, computational linguistics, principles of artificial intelligence.

AI Replacement Risk

85/ 100
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Quick Facts

SectorScience & Research
ISCO GroupScience and engineering professionals
Essential Skills19

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