Linguist

Mackin Talent

. Perform linguistic analyses on large datasets .

Posted 9/30/2026contractRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in linguistic analysis, including typology, syntax, and sociolinguistics, with a strong focus on Responsible AI and multilingual datasets. Proficient in Python and SQL for data analysis, with a commitment to effective communication and collaboration across diverse teams.

Highest-signal resume keywords

PhD In LinguisticsProficiency In PythonProficiency In SQLNear-Native Proficiency In A Dravidian Or Bantu LanguageExperience In Natural Language Processing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Linguistic AnalysisError AnalysisTypological ResearchSociolinguistic ResearchNatural Language Processing TechniquesLanguage Classification StandardsCorpus LinguisticsMorpho-SyntaxPhonetics/PhonologyPragmatics

Soft Skills

Strong Written CommunicationStrong Spoken CommunicationSelf-MotivationAbility To Work IndependentlyAbility To Prioritize And Plan

Industry Keywords

Responsible AIToxic LanguageHate SpeechGender BiasMultilingual SettingsMachine TranslationASRTTSLLM ResearchCross-Functional Collaboration

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, highlighting similarities and differences
Perform linguistic analyses for Responsible AI, including toxic language, hate speech, gender bias, and other cultural biases in massively 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 knowledge including typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, and pragmatics
Reach out to and collaborate with native speakers in various languages
Communicate linguistic analysis results to engineers and research scientists

Requirements

What you’ll need

Strong written and spoken communication skills, especially business and research communication
Near-native or native proficiency in a language other than English, specifically from the Dravidian or Bantu language families/groups; Swahili is a plus
Near-native or native proficiency in English
Working knowledge of other languages is a plus
Proficiency in a low-resource language is valued
Must be able to code in Python
Must be able to query databases using SQL
Other coding languages used for data analysis are a plus
Ability to independently work through complex requests and perform under pressure
Strong ability to work independently, prioritize, plan, track work, and report progress
Education or training in project management is a plus
Self-motivation is a must
Working knowledge of international language-classification standards is valued
Finished PhD in Linguistics or a related field is required; must not be in progress
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
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

Benefits

Comp & perks

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