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Scottish Linguist for LLM Voice Tuning

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Native Scottish speaker, 4-8 years of linguist experience, Preferred experience in LLM translations, Strong understanding of phonetics.

Key responsabilities:

  • Engage with LLMs to fine-tune voice
  • Provide feedback for pronunciation improvements

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Summa Linguae Technologies SME https://summalinguae.com/
201 - 500 Employees
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Job description

Summa Linguae Technologies (summalinguae.com) is looking for Scottish Linguists

 

Position : Linguist (L2/L3) – Native Scottish Speaker
Work Location: Remote
Domain: IT
Duration: Short-Term / Long-Term (Ongoing)

Job Description

We are looking for a native Scottish linguist (L2/L3) to work on an AI-driven project focused on conversational tuning of Large Language Models (LLMs). The role involves interacting with LLMs, providing feedback, and teaching the AI how to properly speak in the native dialect, ensuring accurate accent, tone, intonation, and pronunciation.

 

Responsibilities:

  • Engage in conversations with LLMs to fine-tune their voice and linguistic accuracy.
  • Provide real-time feedback to improve pronunciation, fluency, and naturalness.
  • Record audio samples and correct the AI’s responses.
  • Conduct linguistic reviews (for L3-level applicants).

Requirements:

  • Native speaker of Scottish (born and raised in Scotland).
  • L2-Level: Minimum 4 years of experience as a linguist.
  • L3-Level: Minimum 8 years of experience, including reviewing and auditing.
  • Preferred experience in LLM translations or AI language training.
  • Strong understanding of phonetics, pronunciation, and dialectal differences.

Interview Process:

  1. English proficiency test (written)
  2. Reasoning test (written)
  3. English audio recording assessment

Interested? Apply now.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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