Linguist

Lancesoft Europe; Greater London; Hybride; GBP 45 000 - 75 000; Plein temps

Résumé du poste

Lancesoft Europe is seeking an Infrastructure Engineering - Linguist III to conduct linguistic analyses on large multilingual datasets and evaluate AI model outputs for error patterns. You will develop guidelines for annotations and NLP tasks while collaborating with engineers and researchers.

The role requires PhD-level linguistics, near-native proficiency in another language, and strong Python/SQL skills. Remote UK-based work with a 26/10/2026 to 31/12/2026 assignment period is offered.

Qualifications

• PhD in Linguistics or related field finished.
• Near-native proficiency in a non-English language (Dravidian or Bantu; Swahili a plus) and near-native English.
• Experience with Python and SQL for data analysis is essential.
• Ability to work independently under pressure and manage tasks.
• Knowledge of international language-classification standards is valued.

Responsabilités

• Perform linguistic analyses on large datasets.
• Analyze AI model outputs for error categories and frequency.
• Write and revise guidelines for human annotation and NLP tasks.
• Conduct typological and sociolinguistic research across many languages.
• Collaborate with engineers and researchers to share results.

Connaissances

Python

SQL

Communication

Independent work

Project management

Self-motivation

Language standards

Formation

PhD in Linguistics

Corpus linguistics background

Description du poste

Request ID: 73274-1

Start/End Dates: 26/10/2026 - 31/12/2026

Tax Work Location: UK - England - City of London - Remote (EC4M8AD)

Job Title: Infrastructure Engineering - Linguist III

Job Description: Main duties:

• Perform linguistic analyses on large datasets.
• Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are.
• Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks.
• Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences.
• Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings.
• Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings.
• Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback.
• Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.).
• Reach out to and collaborate with native speakers in various languages.
• Communicate results of linguistic analyses to engineers and research scientists.

Skills:

• Must have strong written and spoken communication skills, especially business and research communication.

Must have:

• Near-native or native proficiency in a language other than English, more specifically a language of the following families or groups: Dravidian or Bantu (Swahili is a plus); Near-native or native proficiency in English.
• Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
• Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus.
• Must be able to independently work through complex requests and perform under pressure.
• Strong ability to work independently, prioritize, plan, and track work, as well as report progress education or training in the basics of project management is a plus self-motivation is a must Working knowledge of international language-classification standards is valued.

Education:

PhD in Linguistics or related field is a must be finished (not in progress) a background or specialization in corpus linguistics is a plus experience with field work is a plus a graduate degree in Literature or English is not an appropriate substitution degree in Computer Science with a specialization in NLP is not an appropriate substitution Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology.

Must have some experience with applying basic Natural Language Processing techniques.

Experience

• Years of experience: 0-3
• Experience working cross-functionally
• Experience collaborating with machine learning, NLP, or software engineers, or data scientists Experience contributing to research papers

Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers)