Linguist

Mackin Talent

. Perform linguistic analyses on large datasets .

Posted 11/10/2026contractRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in linguistic analysis, including typology, syntax, and sociolinguistics, while applying Natural Language Processing techniques. Proficient in Python and SQL, with strong capabilities in independent work and cross-functional collaboration.

Highest-signal resume keywords

Near-Native Proficiency In A Language Other Than EnglishPhD In Linguistics Or Related FieldProficiency In PythonProficiency In SQLExperience With Natural Language Processing Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linguistic AnalysisError AnalysisTypologyMorpho-SyntaxSociolinguisticsCorpus LinguisticsPhonetics/PhonologyPragmaticsNatural Language ProcessingData Querying

Soft Skills

Self-MotivationIndependent WorkPrioritizationPlanningCommunication

Industry Keywords

Responsible AIToxic Language AnalysisHate Speech AnalysisCultural BiasesLanguage-Classification StandardsCross-Functional CollaborationResearch PapersMachine TranslationASRTTS

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Perform linguistic analyses on large datasets
Perform linguistic error analysis of AI model outputs and identify frequent and severe error categories
Write and revise guidelines for human annotation and other AI projects, including translation tasks
Conduct typological and sociolinguistic research across many languages
Analyze toxic language, hate speech, gender bias, and other cultural biases for Responsible AI in multilingual settings
Conduct linguistic literature reviews on NLP-adjacent topics and summarize findings
Compare vendor delivery quality, identify error patterns, and provide actionable feedback
Provide guidance on linguistic topics including typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, and pragmatics
Collaborate with native speakers of various languages
Communicate linguistic analysis results to engineers and research scientists

Requirements

What you’ll need

Near-native or native proficiency in a language other than English, specifically a language from the Dravidian or Bantu families/groups; Swahili is a plus
Near-native or native proficiency in English
Must be able to code in Python
Must be able to query databases using SQL
Must be able to independently work through complex requests and perform under pressure
Strong ability to work independently, prioritize, plan, track work, and report progress
Self-motivation is a must
Working knowledge of international language-classification standards is valued
PhD in Linguistics or related field must be completed, not in progress
Must have a firm grasp of language typology, syntax, morphology, sociolinguistics, corpus linguistics, writing systems, pragmatics, and phonology
Some experience applying basic Natural Language Processing techniques
0–3 years of experience
Experience working cross-functionally
Experience collaborating with machine learning, NLP, or software engineers, or data scientists
Experience contributing to research papers
Preferably no known conflicts of interest in machine translation, ASR, TTS, or LLM research
A graduate degree in Literature or English is not an appropriate substitution
A degree in Computer Science with a specialization in NLP is not an appropriate substitution

Benefits

Comp & perks

Competitive salary
Healthcare contribution
Inclusion in company pension scheme
Work laptop and phone
25 days annual leave (pro-rata) plus paid bank holidays
Potential for career progression for top performers