TL;DR

Computational Linguist (AI/NLP): Analyzing and interpreting linguistic data to support the evaluation and improvement of AI language systems, with an accent on running quality checks, data annotation, and refining evaluation metrics. Focus on ensuring linguistic accuracy and cultural nuance in AI model outputs for English (UK).

Location: Remote from the UK

Company

%hirify_global% is a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models.

What you will do

Analyze and interpret linguistic and phonological data using internal tools and scripts.
Run automated and manual quality checks on AI model outputs and provide data-driven insights.
Review and annotate English (UK) content for linguistic accuracy, cultural nuance, and consistency.
Support dataset creation, cleaning, and formatting for machine learning workflows.
Collaborate with technical teams to refine evaluation metrics and data pipelines.
Document linguistic findings and create reproducible analysis reports.

Requirements

Native speaker of English (UK) with strong command of English.
Bachelor’s or Master’s degree in Linguistics, Computational Linguistics, or Cognitive Science.
Understanding of phonetics, phonology, syntax, and semantics.
Comfortable working with structured data formats (JSON, XML, CSV).
Familiarity with Python, command line interfaces (CLI), or Unix environments.
Strong analytical mindset and attention to linguistic detail.

Nice to have

Experience with linguistic annotation or dataset processing for AI/NLP projects.
Knowledge of machine learning workflows, text-to-speech (TTS), or NLP model evaluation.
Experience with Python libraries (pandas, NumPy) or toolkits (NLTK, spaCy).

Culture & Benefits

Foster a culture of innovation, collaboration, and excellence.
Value curiosity, accountability, and commitment to delivering high-quality AI solutions.
Support work-life balance with flexible work arrangements.
Access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth.
Work closely with top technology companies, tackling exciting challenges and shaping the future of artificial intelligence.

Hiring process

AI tools may support parts of the hiring process, such as reviewing applications and resumes.
Final hiring decisions are ultimately made by humans.

Computational Linguist (English UK)