• Sector: Education and Translation
  • Contract: Part time


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Linguistic Consultant (US English)

United Kingdom » London

Job description:



The role involves working with our client to support text-to-speech (TTS) development for English (United States).


Data annotation (for example, annotating scripts with characters, dialogue identifiers, and narrative features) and audio quality control (e.g. listening to audio segments and discovering and documenting quality issues in the supplied audio), both using client tools.   


How to apply?

Kindly visit the Appen website using the link below:


About Appen

Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions, and believe in giving and receiving direct feedback. We give credit where credit is due, and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.



  • Native speaker of English (US) in the United Kingdom;
  • Master’s degree (or higher) in linguistics, preferably with a focus in phonetics and phonology;
  • Strong knowledge of phonetics and phonology;
  • Keen awareness of regional pronunciation difference; competence in transcription using IPA and/or X-SAMPA;
  • Comfortable working with a computer and learning new software
  • Time engagement: 30-40 hours per week


Preferred qualifications:

  • Graduate-level coursework in articulatory phonetics, speech science, or related fields;
  • academic or professional experience with speech synthesis/text-to-speech system development;
  • experience working with speech recordings

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